A talk at SFRuby highlights how Intercom leverages AI to generate 90% of their PRs, showcasing a significant integration of AI in a large Rails monolith. This event could indicate a shift in how engineering teams might adopt AI for real-world applications.
Tomorrow at #SFRuby:
@brian_scanlan
from
@intercom
on turning Claude Code into a full-stack engineering platform. 90% of their PRs are Claude-authored. 2M-line Rails monolith.
Ruby on Rails x AI is a power combo. 195 people signed up. 5:30 PM. sfruby . com
This tweet discusses a new method presented at NLP2026 for resolving notation variations in medical department names using an LLM, achieving a high accuracy rate. Senior engineers may find the approach and results relevant for improving NLP applications in healthcare.
Published a new article on the KAKEHASHI Tech Blog.
We presented at NLP2026 a method that resolves "notation variations" in medical department names using an LLM, achieving a 97.5% accuracy rate with GPT-5. Please take a look.
Anthropic's new research explores using a weak AI model to supervise the training of a stronger one, potentially accelerating alignment research. This could have implications for how AI systems are developed and aligned in the future.
New Anthropic Fellows research: developing an Automated Alignment Researcher.
We ran an experiment to learn whether Claude Opus 4.6 could accelerate research on a key alignment problem: using a weak AI model to supervise the training of a stronger one.
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AI alignmentresearchAnthropicClaude Opusmachine learning
This tweet discusses architectural patterns for building production-grade AI agents, emphasizing the importance of architecture over prompts. Senior engineers may find value in the insights derived from the Google AI Bake-Off, particularly regarding multi-agent systems and deterministic execution.
Building production-grade AI agents? It's not about better prompts, it's about better architecture.
Learn five patterns from the Google AI Bake-Off, from multi-agent systems to deterministic execution.
Read the blog:
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AI agentsarchitectureGoogle AI Bake-Offmulti-agent systemsdeterministic execution
Microsoft has released Skala, a neural network exchange-correlation functional that achieves chemical accuracy comparable to hybrid functionals at a semi-local cost. This could be relevant for engineers working on computational chemistry applications.
Microsoft just released Skala on Hugging Face
A neural network exchange-correlation functional for density functional theory
that achieves chemical accuracy on par with hybrid functionals at semi-local cost.