The State of Context Engineering

kept by eddie oct 26

Context engineering remains crucial as long context models introduce new failure modes like poisoning and distraction, requiring deterministic techniques such as pruning, summarization, and tool loadout.

Yes, AGI Can Happen - A Computational Perspective
Contra Tim Dettmers, Dan Fu argues current AI systems significantly underutilize hardware, models lag hardware buildout, and multiple paths exist to useful AGI.
also on Llama-4, #software-engineering
9 Observations from Building with AI Agents
Building AI agents reveals nine lessons including using best models for prototyping, fine-tuning for stable tasks, static typing to reduce hallucinated code, and closed-loop prompt optimization.
also on DSPy, #ai-agents, #software-engineering, #developer-tools
The Potential of RLMs
Recursive Language Models (RLMs) mitigate context rot in LLMs by wrapping long contexts in a REPL environment, turning the problem into a coding and reasoning task.
also on DSPy, #ai-agents, #software-engineering, #developer-tools
Jev is an honest game changer.
Jev, a constrained decision model, matched Grok's 89.6% accuracy on 48 game questions while cutting latency 84% and cost 88.5% by using a selective Gemini fallback.
also on Jev, Gemini, #software-engineering, #productivity, #developer-tools
GitHub - dzhng/jevgrep at console.dev
Jevgrep is a CLI tool that helps coding agents locate relevant code by querying repositories with natural language, using Jev to assess relevance.
also on Jev, #software-engineering, #productivity, #developer-tools