GLM-5.1 is a new AI coding assistant rivaling Claude Opus in code generation and bug fixing, but at a fraction of the price. Builders can leverage this tool to automate coding tasks, accelerate product development, or power new SaaS offerings.
GLM-5.1 is out
And here is what you need to know
Zai built an AI that codes almost as good as Claude Opus (the one people pay $200/month for )
and priced it at $3
What it does
โ Writes and fixes code on its own without you babysitting it
โ Can work on a single task for
Dify is a high-starred open source repo that streamlines building AI apps by eliminating the need for complex glue code, letting builders launch products faster. This is valuable for entrepreneurs looking to rapidly prototype or deploy AI-powered solutions.
This repo just crossed 136,000 stars on GitHub. It is arguably the fastest way to ship an AI app right now.
Dify lets you bypass writing 1,000+ lines of glue code.
Instead of manually stitching LangChain, FastAPI, and 5 other tools together, here is what it handles out of the
ValeoProtocol's new npm package lets AI agents independently manage payments, credit, and budgets. Builders can now automate financial operations in their AI products, enabling new business models and reducing manual overhead.
AI agents just leveled up, they now have their own financial system
@ValeoProtocol
just launched valeo-mcp/server, an npm package that allows AI agents to independently handle payments, take credit, track expenses, and manage budgets. Built with :
- x402 for smooth,
This tweet highlights how builders with a Gemini subscription can set up a free, high-quality Gemini 3.1 Flash Lite API on Google Cloud, enabling rapid prototyping or integration into products without worrying about usage limits.
If you have a Gemini subscription, create a free API on Google Cloud yourself and use Gemini 3.1 Flash Lite Previewโit's fast, high quality, and the free quota is more than you'll ever use up.
A new middleware lets you integrate Claude's compaction engine into LangChain agents, enabling more efficient AI workflows. Builders can leverage this to enhance their AI products or services quickly.
the langchain community is so awesome
claude code's source leaked last week and
@IeloEmanuele
immediately built claude's compaction engine as
@LangChain
middleware
drop this into your agents/deepagents today!
Langchain-collapse is a middleware that reduces context bloat in long-running AI agents by collapsing tool call sequences, making agent workflows more efficient and cost-effective for builders.
long running agents (like deepagents) suffer from tool call induced context bloat
s/o
@johanbonilla
for langchain-collapse, an eager context compaction middleware that collapses long tool call sequences, reducing summarization overhead
LangSmith now lets you set cost alerts for AI agents, helping builders control expenses as usage scales. This is crucial for entrepreneurs running automated AI services to avoid unexpected costs and protect margins.
Introducing Cost Alerting in LangSmith
More and more agents are making it to production, and costs are increasing dramatically.
Use LangSmith to set configurable alerts on total cost, so you know right away when your agents are spending more than they should.
Docs:
A curated list of free AI-powered coding and prototyping tools that enable entrepreneurs to quickly build and test new product ideas with minimal upfront cost.
Free tools for vibe coding:
- replit
- grok 3
- v0(.)dev
- lovable
- bolt(.)new
- windsurf
- cursor (free tier)
- claude (free tier)
- google AI studio
just pick one and start building
Google AI Studio offers 1,500 free daily requests to the Gemma 4 31B model, which can be integrated into workflows or products via Vercelโs AI Gateway. Builders can leverage this to prototype or launch AI-powered tools with minimal upfront cost.
Most people donโt realize this:
You get 1,500 free daily requests to Gemma 4 31B on
@GoogleAIStudio
.
Thatโs plenty of free inference (imo).
And you can route it into
@NousResearch
Hermes Agent via Vercelโs AI Gateway:
1. Create an API key on Google AI Studio
2. Add it u
Unsloth enables faster, lower-VRAM fine-tuning of Gemma 4 models locally, making advanced AI customization accessible to solo builders with modest hardware. This unlocks rapid prototyping and product development for AI-powered apps.
You can now fine-tune Gemma 4 with our free notebooks!
You just need 8GB VRAM to train Gemma 4 locally!
Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub:
github.com/unslothai/unsl
โฆ
Guide:
unsloth.ai/docs/models/ge
โฆ
Gemma-4-E4B Colab:
colab.research.google.co
NVIDIA released a 600M parameter speech recognition model on Hugging Face that supports both offline and real-time transcription with low latency. Builders can leverage this to add robust voice features to products without switching models.
NVIDIA just dropped a unified speech recognition model on Hugging Face
One 600M parameter model handles both offline transcription and real-time streaming with just 160ms latencyโno need to switch checkpoints.
Deepagents v0.5 introduces async subagents, multi-modal filesystem support, and a new backend interface, making it easier for builders to create advanced AI agent workflows. This upgrade can help entrepreneurs rapidly prototype and deploy AI-powered automation products.
we just released deepagents v0.5 with support for async subagents, multi-modal filesystem support, and a sleek new backend interface.
read all about it!!
GitNexus claims to solve the problem of AI code editors breaking projects by lacking full context. Builders can leverage this tool to ship more reliable AI-powered coding products or services.
STOP. Your AI is coding BLINDโฆ and you donโt even realize it.
Every time Claude Code or Cursor edits your codeโฆ
Thereโs a high chance itโs silently breaking something.
Not because itโs dumb.
Because it canโt see the full picture.
Until now.
Someone just dropped GitNexus
A new resource reverse-engineers top design systems into markdown files that AI agents like Claude Code and Cursor can use, enabling automated UI generation with professional design context. This helps builders ship better-looking products faster.
Your AI agent keeps building UI that looks like garbage because it has zero design context.
Someone just fixed that by reverse-engineering 31 billion-dollar design systems into single .md files that Claude Code and Cursor can actually read.
Drop one file into your project root.
Highlights the need for dependency graphs in AI coding agents to prevent unintended code breakage across files. Builders can leverage this insight to create more robust AI dev tools or enhance existing ones.
This is the missing layer for AI coding agents. Right now Claude Code and Cursor fly blind across file boundaries. A dependency graph that understands call chains means the agent can scope changes without accidentally breaking something three directories away.
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AI agentsdeveloper toolsdependency graphautomation
Journey enables sharing and reusing AI agent workflows, solving a major pain point for builders who previously had to recreate workflows from scratch. This can accelerate product development and collaboration in the AI space.
@MatthewBerman
might have hit the nail in the head with 'Journey'
The biggest challenge with AI Agent workflow was sharing it, if I built something then others had no way to re-use it, it needed to be recreated from scratch.
Journey is like npm for Agent Workflows where
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AI agentsworkflow automationdev toolsreuseproductivity
Google's Gemma models are now accessible through the Gemini Interactions API, with a Java SDK example provided. This enables builders to quickly integrate advanced AI models and Google Search into their products or workflows.
The
@googlegemma
models are also available via the #Gemini Interactions API:
github.com/glaforge/gemin
โฆ
(an example with my #Java SDK showing both available Gemma models and also with Google Search tool)
Plano is a smart proxy that routes prompts to the most cost-effective LLMs, reducing AI inference costs by up to 50%. Builders can use this to optimize expenses and scale AI-powered products more efficiently.
This AI proxy cuts your LLM costs by 50%
Plano acts as a smart data plane that automatically routes your prompts to the right model based on complexity.
It runs on Arch-Router-1.5B, giving you production-grade routing deployed at scale at Hugging Face.
- Smart LLM routing
ShioriCode is a new coding tool offering seamless access to Shiori, Codex, and Claude via a sleek GUI. Builders can leverage this to accelerate AI-powered product development or streamline coding workflows.
With this, ShioriCode will soon be the best coding tool out there.
You will have access to three providers from the get-go, with a stunning, minimal but beautiful GUI:
- Shiori (uses your Shiori subscription)
- Codex (uses your ChatGPT subscription)
- Claude (uses your Claude
PetClaw offers a hassle-free, one-click setup for running AI agents on your desktop, eliminating the typical install and configuration headaches. This enables builders to rapidly prototype or deploy AI-powered workflows without technical barriers.
If youโve tried OpenClaw, you know the pain:
install โ break โ fix โ repeat
@PetClaw_ai
flips it.
One click.
No setup.
A working AI agent on your desktop in minutes.
Fireworks Training now lets you fully fine-tune massive models like Kimi K2.5 with custom loss functions on managed infrastructure. This enables builders to rapidly create proprietary AI models tailored to niche use cases, speeding up product development.
Fireworks Training is now in preview.
You can now full-parameter fine-tune Kimi K2.5 (1T params, 256k context) with custom loss functions (GRPO, DRO, DAPO, or bring your own) on managed infra.
@genspark_ai
built their proprietary model stack in four weeks.
@vercel
hit 93%
The tweet highlights GLM-5.1's superior performance in porting designs into Figma MCP compared to GPT-5.4, showcasing a valuable tool for builders looking to streamline their design processes.
I'm happy to inform you GLM-5.1 in Droid via BYOK is better than GPT-5.4 at porting designs into Figma MCP. I am editing the video and will post it soon, total run took like 10 minutes, then another 2 minutes to clean up a tiny issue.
I love GLM-5.1 I am trying to prune it now
OpenClaw's integration with GPT-5.4 significantly improves its capabilities, making it a valuable tool for builders looking to enhance their AI projects. This advancement can streamline development processes and accelerate product launches.
OpenClaw is now really good with GPT-5.4. Peter and team cooked
This tweet discusses using advanced AI models to enhance the performance of cheaper models, which can streamline product development for builders. It highlights a method to improve AI outputs, making it relevant for entrepreneurs looking to optimize their AI tools.
The best way to make cheap models work is to have big models direct them
Have an expensive model like GPT 5.4 or Opus write up a derailed spec
Use Kimi or GLM 5 to implement it.
We are observing some excellent results
A user shares how switching to Codex helped identify critical gaps in their development pipeline, showcasing the tool's effectiveness in enhancing team productivity. This insight can help builders optimize their workflows and improve project outcomes.
Really interesting observation: I fully switched my OpenClaw to oauth GPT 5.4/ codex after the claude debacle.
Immediately, codex noticed over 10 gaps in my 12-agent dev team pipeline that opus hadnโt identified or fixed.
It took us maybe 20 minutes to fix any gaps, identify
LibreChat offers a self-hosted AI chat platform that consolidates multiple AI models, allowing builders to maintain control over their data and infrastructure. This can empower entrepreneurs to create customized AI solutions without reliance on third-party services.
LibreChat is a self-hosted AI chat platform that puts Claude, GPT-5, Gemini, DeepSeek, Mistral, Grok, and 50+ other models in a single interface.
You own the server. You own the data. You own the entire stack.
No middleman. No per-seat pricing. No data sent anywhere you didn't
The latest update of Summarize introduces new features like local video slides and improved model backends, making it a valuable tool for builders looking to enhance their AI projects and streamline development.
Summarize 0.13 is out!
Local video slides (--slides)
More model backends (GitHub Copilot)
Better GPT-5.4 support
Better media handling (HLS detection.m3u8)
It graduated from my tap to official homebrew formula!
brew install summarize
This tweet highlights five new AI models optimized for Apple Silicon, which can enhance development efficiency for builders. Leveraging these tools can streamline product development and improve performance.
5 ู ูุฏููุงุช ู ุญููุฉ:
Qwen3.5 4B โ 97.5% tool calling
GPT-OSS 20B โ ุฃูู open source ู ู OpenAI
Gemma 4 26B โ ุฃุญุฏุซ ู ู Google
Opus Distilled 27B โ reasoning ู ู Claude
Gemma 4 E4B โ ุฎููู ูุณุฑูุน
ูููู MLX ู ุญุณูุฉ ูู Apple Silicon.
This tweet highlights a new guide that can significantly enhance daily workflows, making it a valuable resource for builders looking to optimize their processes.
200 stars! I'm happy that this was able to help people. Now check out the hermes guide I just posted! I think it will change the game for your daily workflows
github.com/OnlyTerp/herme
โฆ
CertiK launches an AI-powered auditor for Solidity, Solana, and Move smart contracts, enabling faster and more reliable code security checks. Builders can leverage this tool to streamline smart contract development or offer auditing as a service.
We are releasing the CertiK AI Auditor as a closed beta today! The product focus is low noise, high signal.
It supports: Solidity, Solana, and Move smart contracts.
Check out the detection rates and other stats in the article.
Site:
ai.certik.com/2p8j42p7
If you want an
GLM-5.1 is now available on OpenRouter, Vercel, and Requesty, introducing a shift from short-term accuracy to long-term autonomous improvement in AI coding. Builders can leverage this new model to enhance or create AI-powered coding tools and services.
(6/n) GLM-5.1 is now available:
ใปOpenRouter
ใปVercel
ใปRequesty
"8-hour autonomous operation" is the concept. From short-term accuracy battles to long-term improvement battles.
The very axes for evaluating AI coding are changing.
- OpenRouter:
openrouter.ai/z-ai/glm-5.1
-
Vercel AI Gateway charges only for the underlying AI model, with zero markupโif the model is free, so is your usage. This enables builders to integrate AI into products with minimal infrastructure cost.
No it is. Vercel AI Gateway has no markup cost. They charge you just for the model, and if the model is free, so is the usage!
A curated list of free or low-cost tools to launch a startup, covering everything from hosting to analytics. This helps builders minimize costs and accelerate MVP development.
Enter Pro introduces persistent context/rules, seamless Notion/GitHub integration, and managed cloud infra, making it easier for builders to create and maintain AI-powered workflows without complex setup.
Enter Pro adds major improvements
- Skills: Context and rules persist across sessions.
- MCP: Easier integration with Notion and GitHub without managing API keys.
- Cloud: Infra setup is handled. No need to configure Supabase or Vercel separately.
Keeps workflows consistent.
GLM-5.1, a new AI model, is now accessible via OpenRouter, Vercel, and Requesty. Builders can integrate this model into their products or services, enabling advanced AI features with minimal setup.
Special thanks to our launch partners, AI gateways, and inference providers. Access GLM-5.1 now:
- OpenRouter:
openrouter.ai/z-ai/glm-5.1
- Vercel:
vercel.com/ai-gateway/mod
โฆ
- Requesty:
requesty.ai/models/zai/glm
โฆ
awesome-design-md provides DESIGN.md files for 31 top websites, enabling AI agents to generate web pages from markdown instead of Figma. This streamlines prototyping and AI-driven site building for entrepreneurs.
your ai agent can't read figma files.
but it can read markdown
awesome-design-md gives you DESIGN.md files for 31 real websites stripe, vercel, linear, notion, cursor, supabase...
drop one in your project root, tell your agent "build me a page that looks like this"
and it
A new wave of AI-powered IDEs and agents are emerging that don't just autocomplete code, but actively collaborate in building software. Builders can leverage these tools to accelerate product development and ship faster.
right now weโre entering the agentic IDE era.
tools where AI doesnโt just autocomplete codeโฆ
it actually builds with you.
so far youโve got things like:
> antigravity
> codex
> claude
> cursor
> windsurf
> replit agent
> lovable
> bolt(.)new
> v0 by vercel
> devin
the tools
A set of voice AI models and demos from OpenBMB, available on Hugging Face and ModelScope, that builders can test and integrate into their own products. Useful for rapidly prototyping or enhancing voice-powered applications.
If youโre building anything with voice
This is worth testing.
Try it yourself:
Hugging Face Space:
huggingface.co/spaces/openbmb
โฆ
Hugging Face Model:
huggingface.openbmb.com/model/openbmb/
โฆ
ModelScope Model:
modelscope.cn/models/OpenBMB
โฆ
GitHub๏ผ
A new GStack-Lite tool accelerates OpenClaw's Claude Code execution, enabling faster and more capable AI task automation. Builders can leverage this to develop smarter, more efficient AI-powered products.
It's official. GStack for OpenClaw is here. When OpenClaw has to use Claude Code to do things (and it does this all the time) suddenly it can do it with wings.
I created a special gstack-lite to keep OpenClaw tasks fast while making them think harder and get more done.
Blackbox AI is highlighted as a powerful coding assistant that integrates Codex and Claude-like capabilities directly into your workflow, enabling faster product shipping. Builders can leverage this tool to accelerate development and reduce manual coding effort.
If youโre serious about leveling up with AI coding, check out
@blackboxai
โ itโs like having Codex + Claude combined, but fully in your workflow. Donโt just pick one, use the tool that actually ships products for you.
ToolProof is a new tool that detects when AI agents fabricate or lie about tool usage, addressing a major reliability issue for builders using agent workflows. This can help entrepreneurs ensure their AI-powered products are trustworthy and robust.
Just shipped ToolProof.
It catches AI agents lying about tool calls.
The problem:
- Your agent says "I searched the database." It didn't.
- Your agent says "I read that file." It fabricated the content.
- 91.1% hallucination rate on tool calls under adversarial conditions
-
LoongClaw is a customizable Rust framework for building AI agents, enabling entrepreneurs to rapidly prototype and deploy unique AI-powered products or services.
Build and customize any ai agent with this minimalist rust framework.
LoongClaw is not meant to stop at being another generic claw.
It also reflects the way people want to work: respect differences, stay open, practice reciprocity, think long-term, and stay grounded.
A tool or method to add robust, hybrid search-enabled memory to AI agents, enabling more advanced and reliable automation products. This can help builders create smarter, more persistent AI-powered services.
Add production-grade memory with hybrid search to any AI Agent.
A production-ready framework for building AI agents with strict schema validation and automated retries, enabling faster and more reliable deployment of LLM-powered products. Ideal for builders who want to ship robust AI features quickly.
This GitHub repository lets you build reliable AI agents with structured outputs and strict validation using Pydantic
A production-first framework that treats LLMs like typed systems - enforcing schemas, validating responses, and handling retries automatically
Built by the team
TurboQuant enables runtime quantization, letting builders extend Gemma 4 26B's context window by 42% while maintaining usable output speed. This unlocks more powerful AI apps with larger context at lower hardware cost.
If you werenโt convinced before about TurboQuant, check out
@Prince_Canuma
latest experiment. He extended the native context window of Gemma 4 26B by 42% and maintained an acceptable 23 tps output speed (the trade off).
Remember TurboQuant is a runtime quantization
x402 enables AI agents to make payments autonomously, and Guardx402 adds essential guardrails for safe spending. Builders can leverage these tools to create secure, economically autonomous AI products.
Great piece
@davewardonline
x402 is the payment layer that finally gives AI agents economic autonomy. Every week more builders are joining the x402 wave.
But autonomous agents that spend money need guardrails. Thatโs why I built
@guardx402
during the
@OpenWallet
hackatho
A builder showcases a project combining AI and onchain verification for transparent crypto risk analysis, using OpenGradient Hub. This highlights a practical tool or framework for entrepreneurs to create trustworthy, explainable AI-powered financial products.
I built a Verifiable AI Crypto Risk Advisor using
@OpenGradient
Hub to explore how AI and onchain verification can work together in a real application.
The idea behind this project is simple: crypto risk analysis should not feel like a black box.
When a portfolio is analyzed
PrismML's Bonsai models (1B & 8B) now run locally via MozillaAI's llamafile, enabling builders to deploy capable AI on consumer hardware. This unlocks new product ideas and rapid prototyping for AI-powered apps without cloud costs.
Local LLMs have never been more capable!
@PrismML
recently released their Bonsai model family boasting strong intelligence in the 1B and 8B tiny model sizes. So for a weekend project, my colleague
@aittalam
bundled it into a
@MozillaAI
llamafile, and I built
Pokee_AI is highlighted as a rare AI agent tool that balances flexibility and production reliability, making it a strong candidate for builders seeking to automate or enhance their products with agents that actually work in real-world settings.
Been deep in the AI agent space this quarter.
Most tools are either too fragile for production or too locked-down to be useful.
@Pokee_AI
is the first one Iโve tested that threads that needle.
Notes below โ
Vibeyard is an open-source Electron IDE tailored for AI coding agents like Claude Code, featuring an embedded browser and instant UI inspection. Builders can leverage this tool to rapidly prototype and test AI-powered apps, speeding up development cycles.
The video shows a demo of Vibeyard, an open-source Electron IDE for AI coding agents (Claude Code, etc.). It features an embedded browser tab where you run your app locally, then click any UI element (button, text, div) to "inspect" itโClaude instantly gets the exact
AutoMemoryTools enables AI builders to add persistent, file-system-based memory to their systems, functioning like a personal Wiki for important data. This can help entrepreneurs create smarter, more context-aware AI products that retain knowledge beyond short-term memory windows.
want to give your AI systems better memory? Check out the new support for `AutoMemoryTools` which builds a durable, file-system based repository - a personal Wiki, if you will - of your important highlights and facts that endures long after your rolling window of memory moves on
The tweet highlights a high-ROI internal tool: a context layer that gives every team member an AI assistant instantly contextualized to any client repo. This approach can inspire builders to create similar dev tools or SaaS products for teams needing rapid onboarding and productivity boosts.
STOP building AI agents.
So far, the highest-ROI thing we've built at my company with AI:
The context layer.
Every team member at our company can open any client repo and get a fully contextualized AI assistant in seconds.
Here's the setup behind it:
Described the entire
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AI assistantcontextual AIdeveloper toolsproductivitySaaS
build a SaaS on top of itoffer it as a servicerecurring
Graphify lets you convert any folder into a navigable knowledge graph with a single command, massively reducing token usage for LLM queries. Builders can leverage this to create smarter, more efficient AI-powered products or services.
Breaking: Andrej Karpathy described his ideal LLM knowledge base workflow and someone shipped it 48 hours later.
It is called Graphify and it just cut token usage per query by 71.5x.
One command inside Claude Code and it turns any folder into a fully navigable knowledge graph.
LangChain is expanding its agent middleware ecosystem and seeking community contributions. Builders can leverage this middleware to accelerate AI product development or create new integrations.
we're building out a community middleware page for
@LangChain
, and we need your help growing it.
agent middleware is one of the most powerful building blocks we've shipped. what are you building with it?
ChatGPT can automate coding, content creation, and debugging, making it a powerful tool for entrepreneurs to accelerate product development and streamline workflows.
14. ChatGPT
Your all-in-one AI assistant.
โ Write production-ready code
โ Generate LinkedIn/X content
โ Debug & explain complex logic
Pro tip: Use custom prompts + memory for best results
chat.openai.com
The tweet suggests skipping heavy frameworks like LangChain for simple tool-calling tasks, instead wiring Playwright browser automation directly to Ollama. This approach can help builders create leaner, faster AI-powered products.
playwright is the move here, langchain adds a lot of weight for what ends up being pretty simple tool-calling once you strip it down, i've had better luck just wiring browser-use directly to ollama and skipping the framework entirely
GLM-5, now available on Baseten, marks a leap in open models' ability to use tools and follow instructions. Builders can leverage this to create smarter, more capable AI-powered products or services.
Open models have crossed a threshold in their ability to use tools and follow instructions. This is a huge moment! Try GLM-5 (deployed on
@baseten
) in Fleet today
smith.langchain.com/agents
GLM-5, a new large language model from Zai, is now available in production for LangChain Fleet via Baseten. Builders can leverage this integration to quickly add advanced AI capabilities to their apps or workflows.
we practice what we preach --
@Zai_org
GLM-5 (via
@baseten
) now available in production for
@LangChain
Fleet!
Highlights a simple tech stack (bun, gemini-sdk, ink, shiki, zod) for quickly prototyping AI code agents, helping builders experiment with agent principles before tackling complex production systems.
If you're just writing a code agent demo, it's really pretty simpleโbun + gemini-sdk + ink + shiki + zod can whip up the most basic demo to get a feel for the principles. Of course, a truly mature and complete one is still incredibly complex, like Claude Code or Codex and those.
Jam is a collaborative web-based coding terminal that integrates with Claude Code, enabling real-time teamwork. Builders can leverage this tool to accelerate product development or offer collaborative coding experiences.
Introducing Jam, a multiplayer vibe coding terminal on the web.
Spin up a Jam, connect your Claude Code, and share a link to your friends to work together real-time!
Built with Jam and
@lkronhubbard
@bryanhpchiang
@leithnyang
A tool that wraps bash calls to filter outputs and save tokens, highlighting the importance of harnesses and context engineering for AI workflows. Builders can use this to optimize AI pipelines and reduce costs.
cool harness hook that wraps every bash call and does tons of output filtering to save a big % of tokens
codex is either gonna love this or be confused beyond saving bc it loves bash for everything
me the broken record: harness & context engineering matter
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A concise workflow for developers to efficiently use AI in coding projects, breaking tasks into units and iterating with code and tests. This helps builders ship AI-powered products faster and with fewer errors.
AI Workflow Cheat Sheet for Developers
โข Start with intent โ โWhat am I building?โ
โข Break into units โ functions, endpoints, components
โข Prompt per unit (not whole app)
โข Generate code + tests together
โข Run locally โ catch real errors
โข Paste errors back โ get
A new AI-powered workspace, launched by 'participate procenteo', streamlines app development with a Handoff system for deep-dives, spec-engineering, and build sessions. Builders can leverage this tool to accelerate complex project workflows.
Personal AI Workspace - participate
Launched by "participate procenteo" in Terminal
Purpose: building the
procenteo.pl app - this is how I work on the Apps. The Handoff system manages deep-dives, spec-engineering, and build sessions - so every complex work is a
๐ 113 viewsโค 3๐ 0๐ฌ 0๐ 02.7% eng
AI workspaceapp developmentworkflow automationproductivity
This tweet highlights a new middleware that utilizes a compaction algorithm, which can help builders streamline their AI applications and improve efficiency in product development.
one of the coolest ones i've seen yet:
@IeloEmanuele
built a "context compaction" middleware powered by claude code's compaction algorithm.
Optimal AI has released an update requiring users to switch their connector to use get_game_projections, signaling active development and new capabilities for builders leveraging their API. Staying updated ensures continued access and potential for enhanced product features.
Optimal AI is shipping -- make sure to update your connector to use get_game_projections
This tweet outlines the essential components of an AI system, providing builders with a clear framework to develop their own AI-powered solutions. Understanding this stack can help entrepreneurs streamline their product development process.
The entire system has 5 parts:
1. The brain - LLM (Claude, GPT, etc.)
2. The agent - OpenClaw
3. The tools - Skills / Plugins
4. The interface - Telegram / Discord
5. The memory - stores context + user history
Thatโs literally the full stack.
A new AI-powered tool, gittime.in, lets developers instantly backdate GitHub commits. This can streamline repo management or automate contribution graphs, offering a unique utility for dev-focused builders.
I'm looking to #connect with people who are interested in:
Build in Public
Developer Tools
Startup Growth
Tech & AI
GitHub Hacks
Check out what I'm building:
gittime.in (An AI tool to backdate your GitHub commits instantly )
Let's and grow with valuable
This paper introduces a novel method for image segmentation using vision-language models to generate and refine vector-based masks. Builders can leverage this technique to enhance AI-powered image editing or annotation tools.
Everybody check out this new Moondream Image Segmentation paper!
They make a VLM produce segmentation in two stages
1. Generate an SVG-like vector-graphics path of the mask
2. Iteratively refine it into a detailed pixel mask
Added to Paper Breakdown!
OpenClaw introduces 'Dreaming', an experimental, opt-in system for AI memory consolidation, enabling more durable and explainable memory phases. Builders can leverage this to create smarter, more persistent AI agents or products.
Dreaming is OpenClawโs experimental, opt-in memory consolidation system, promoting meaningful short-term signals into durable memory through explainable light, deep, and REM-style phases.
docs.openclaw.ai/concepts/dream
โฆ
A technique to make Llama.cpp's Gemma 4 E2B prefill 90% faster by skipping late layer prefill, which can significantly speed up AI-powered apps relying on this model. Useful for builders optimizing inference latency.
made the llama cpp gemma 4 E2B prefill 90% faster by skipping late layer prefill
this is a little tricky because the last token of prefill still needs to go through all layers.
A transparent breakdown of a builder's monthly spend on essential AI tools and APIs, offering a real-world benchmark for solo entrepreneurs planning their own product or automation stack.
my entire monthly build stack:
Claude Max: $100
ChatGPT Pro: $20
Gemini Pro: got it for $0
Vercel Hobby Plan: $0
X sub for my product acc: <$5
OpenAI + Anthropic API: $20โ30
Twitter API: $10โ20
A few other free tools (no openclaw)
total: ~$150โ175/month
Google has quietly released an AI-powered dictation app built with Flutter that works offline. Builders can leverage this tech to create voice-driven apps or integrate offline speech-to-text features into their products.
Flutter่ฃฝใ (ใยด๏ฝฅโฟ๏ฝฅ๏ฝ)
Google quietly launched an AI dictation app that works offline
techcrunch.com/2026/04/06/goo
โฆ via
@techcrunch
A new kit turns visual SwiftUI tips into agent-ready resources, enabling AI tools like Claude and Codex to generate more accurate, version-aware SwiftUI code. Builders can leverage this to enhance their own AI-powered dev tools or content.
Just launched something cool for iOS developers
I turned my visual SwiftUI tips into an agent-ready kit for AI tools.
It helps tools like Claude, Codex, and Grok generate better, more version-aware SwiftUI answers.
Launch link below:
A new tool, Git AIC, automates writing clean, meaningful commit messages using AI. Builders can leverage this to speed up development workflows or integrate similar AI features into their own dev tools.
Dear developers,
Stop cracking your brains for commit messagesโฆ
I built Git AIC, an AI-powered commit generator.
Just run:
"git aic"
โฆand get clean, meaningful commits from your changes.
No more:
"fix stuff"
"update code"
"final fix"
A builder showcases a system using DSPy and GEPA to optimize competing AI agents via adversarial debate. This highlights advanced prompt optimization techniques that can be leveraged to build smarter, more autonomous AI products.
Most prompt optimization demos show one agent getting better at one task. But what happens when you optimize three agents that are competing with each other?
I built a multi-agent adversarial debate system with DSPy and GEPA to find out
๐ 295 viewsโค 2๐ 0๐ฌ 0๐ 20.7% eng
multi-agentprompt optimizationDSPyAI agentsdebate
write a newsletter/blog about itpost about it on Xaudience building
A blog post explains five ways to customize agent harnesses using LangChain middleware, offering practical patterns for building more flexible AI-powered products.
did a big series on using
@langchain
's middleware to customize your agent harness last week
icymi, here's a quick blog explaining 5 different patterns for harness engineering!
A builder showcases a custom retro game launcher made with Claude AI, featuring themes, automation, and controller support. This highlights how AI can accelerate building polished, feature-rich apps for niche markets.
Anyways, been using Claude AI and Built up my Own Retro Game Launcher
here is the front end,
Has custom themes,
Animated background,
Per Emulator Themes
Built in scraper,
Favourites bar,
Controller support,
Backup tool
Attract Mode to Showcase Games when idle
EPIC !
๐ 158 viewsโค 2๐ 2๐ฌ 0๐ 02.5% eng
AIgame launcherautomationClaudebuilder
build a SaaS on top of itfork and ship itrecurring
This tweet highlights running the powerful Gemma 4 26B model locally on macOS using llama.cpp, enabling builders to leverage advanced AI capabilities without cloud costs or dependencies.
Ejecutando OpenCode con Gemma 4 26B en macOS (a travรฉs de llama.cpp)
A guide on improving AI model inference efficiency using Cursor, covering both hardware and software optimizations. Builders can leverage these insights to create faster, more cost-effective AI-powered products.
Great timing, I've just posted an Article how to get better and more efficient output using Cursor, here the hardware/software side of how the team optimizes AI model inference for all our users.
x.com/cursor_ai/stat
โฆ
KTA-Oracle provides whale alerts, live payment rates, and compliance data for AI agents on Keeta. Builders can leverage this tool to enhance AI-powered financial or compliance products, speeding up development.
If you want to see what I've been working on, check out KTA-Oracle.
Built for AI agents on Keeta: whale alerts, live global payment rates, and deep compliance data. Any feedback or support helps me a ton!
@KeetaNetwork
$KTA
PocketPal AI lets users run Gemma language models 100% locally on their phones, enabling private, offline AI chat. Builders can leverage this tool to create privacy-focused AI apps or content around local LLMs.
Here is how to get it.
On your phone:
1. Download the PocketPal AI app from the App Store
2. Open the app and pick a Gemma model through Hugging Face
3. Download the model
4. Start chatting, everything runs 100% locally and private (no internet needed after setup)
On your
Google's demo site lets you run AI models directly in the browser, showcasing the potential for client-side AI apps. Builders can explore new product ideas or content around browser-based AI capabilities.
You can try it yourself on Google's demo site here. (It takes a bit at first since it has to download the model.)
chrome.dev/web-ai-demos/
Highlights the gap between rapid prototyping with AI coding tools and the complexities of shipping robust, production-ready products. Reminds builders that while AI accelerates development, strong engineering is still crucial for real-world success.
Vibe coding is fun until production hits
.Anyone can build an app with tools like Cursor, v0, Replit Agent.
But shipping real products? Different game.More bugs. More security risks. More โwhy is this breaking?โ
AI helps but real engineering still wins.
This tweet introduces 'warp decode,' likely a new AI tool or framework. Builders can explore it to speed up product development or integrate advanced AI features into their offerings.
Read about our work on warp decode:
๐ 24,823 viewsโค 78๐ 13๐ฌ 2๐ 770.4% eng
This tip shows how to use Hugging Face's hardware profile feature to quickly see if your Mac can run specific local AI models. Useful for builders evaluating hardware before investing in local AI workflows.
ๆณ็ฅ้ไฝ ๆไธๆๆณ่ฒท็ Mac ่ฝ่ทไป้บผๆฌๅฐๆจกๅๅ๏ผ
1. ๅป Hugging Face ่จปๅๅธณ่
2. ๅจๅธณ่่จญๅฎๅกซๅ ฅ็กฌ้ซ่ฆๆ ผ
3. ้ๆจฃๅญ๏ผๅฐๅๆจกๅ้ ้ขๆ๏ผๅฐฑๅฏไปฅ็ๅฐๆฏๅฆ่ทๅพๅ็้ ไผฐ
Spawn Protocol offers a framework for AI governance that adapts over time. Builders can leverage this to ensure compliance and trust in AI-powered products, which is increasingly important for monetization and scaling.
You should check out
@protocolspawn
AI governance that actually works and evolves
spawn-protocol-f1td.vercel.app
Julius AI is being highlighted as a tool, suggesting potential utility for automating or enhancing business workflows. Builders can evaluate if it fits into their stack for faster product development or automation.
Highlights key syntax differences for Chain-of-Thought prompts between Gemma 4 (vLLM) and Gemini API (OpenAI chat completions). Useful for builders integrating or switching between these LLMs to avoid prompt errors.
PSA: Gemma 4 uses a harmony-like syntax for vLLM with <|channel>thought\n, but the Gemini API (when using OpenAI chat completions) uses for the CoT