#context-engineering
7 posts tagged with "context-engineering".
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What Survives Compaction Is the Real Context Window
• 6 min readJune's research reframes context management: the discard step is now where both agent quality and safety quietly leak.
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The Context Window Grew a Memory Manager
• 5 min readA June 2026 wave of papers shows pruning beats full context on accuracy and cost — and that eviction is becoming a deterministic, cache-aware system, not a summarize call.
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Optimization Is Moving From Weights to English
• 5 min readRecent work turns skills, harnesses, and context into objects you can search over and benchmark — optimizing the English around a frozen model instead of the model.
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Data Agents: The Hard Part Was Never the SQL
• 5 min readAnthropic and OpenAI independently shipped internal data agents and reached the same conclusion: discovery beats generation, and structure beats access.
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The Trajectory Became the Cost Center
• 5 min readA wave of mid-2026 research stopped trying to make the model cheaper and started compressing the agent's own trajectory — at the observation, action, and skill level.
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Context Engineering: The Discipline That Makes AI Agents Actually Work
(updated) • 16 min readA deep dive into context engineering — the techniques that separate toy demos from production AI agents. Covers compaction, offloading, isolation, caching, and prioritization with real examples from Manus, Claude Code, and Devin.
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Tool Selection at Scale: When Your Agent Has 200 Tools
• 9 min readPast ~30 tools, agent reliability falls off a cliff. Past ~100, it's chaos. Here's the actual engineering — RAG-over-tools, semantic routing, dynamic loading, and namespacing — that production teams ship to stay sane.
