AI Twitter Scanner

High-signal AI posts from X, classified and scored

← 2026-04-11 2026-04-12 2026-04-13 →  |  All Dates
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All infrastructure market signal model release open source drop platform shift research
infrastructure @quantisol
7/10
Event-Driven Architecture for Market Bots
The tweet describes a custom event-driven architecture for a trading bot that prevents double entries and stale states using specific dataclasses. This approach may interest engineers focused on building robust trading systems and infrastructure.
The architecture is entirely event-driven based on market state. I built custom dataclasses to track round phases (Scanning -> Active -> Settlement) to ensure the bot never double-enters a market or gets trapped in stale states.
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tradingevent-driveninfrastructuredataclassesbots
infrastructure @ConsciousRide
7/10
Optimizing API Performance: Key Considerations
This tweet highlights common pitfalls in API performance, such as network latency and database inefficiencies, urging engineers to analyze query plans and latency traces. Senior engineers will find this practical advice relevant for optimizing their systems.
The API looks perfect in code but gets slow because of network round trips, database queries without proper indexes, and no caching on repeated data. These things add up fast in real traffic even if the logic runs clean. Check query plans and latency traces first before blaming
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APIperformanceinfrastructureoptimizationengineering
infrastructure @tom_doerr
7/10
Framework for Evaluating Large Language Models
This tweet links to a GitHub repository that provides a framework for evaluating large language models. Senior engineers may find it useful for benchmarking and improving their own AI systems.
Framework for evaluating large language models github.com/open-compass/o …
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AIevaluationframeworkGitHublanguage models
infrastructure @RealJohnnyTime
7/10
AI-Driven Workflow for Testing and Validation
This tweet outlines a structured approach to using AI for testing software, emphasizing the importance of manual validation and evidence-based reporting. A senior engineer would find value in the practical workflow for enhancing testing processes.
A strong workflow: - use AI to enumerate assumptions and edge cases - use AI to suggest adversarial test scenarios - then manually validate state transitions - confirm exploitability with a PoC - write findings with evidence and impact logic
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AItestingworkflowsoftware engineeringvalidation
infrastructure @MinionLabAI
7/10
OpenClaw 4.11 Focuses on Stability Over Flash
OpenClaw 4.11 emphasizes the importance of stabilizing the agentic stack rather than showcasing flashy features. This focus on foundational work is crucial for engineers building reliable AI systems.
Beyond the hype, the real signal is in the hardening of the agentic stack. While everyone chases the next flashy demo, the silent revolution is happening in the foundation. OpenClaw 4.11 isn't about headline-grabbing featuresβ€”it's about the painstaking work of stabilizing an
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OpenClawinfrastructureAI stabilityagentic stackengineering