Atlas / Topic
Context Engineering
Definition
Deciding what belongs in an agent’s context window — and what to leave out — so the model spends its budget on decision-relevant material.
Why It Matters for Agents
Most agent failures are context failures: too much noise, missing facts, or stale material. Treating context as a ranked budget makes sessions repeatable.
Key Sources
AI EngineerAI Engineer TalkTranscript Verified
Context engineering for coding agents — AI Engineer World’s Fair
A reusable framework for deciding what belongs in an agent’s context window and what to leave out.
AnthropicOfficial ReleaseOfficial Source
Claude Code ships subagents in isolated context windows
Long refactors no longer pollute the parent context — a child agent does the noisy work and reports back.
GoogleDocs UpdateOfficial Source
Gemini agent SDK adds shared context caching across sessions
Cached context is billed once and reused across agent sessions — changes the economics of long system prompts.
GitHubGitHub RepoRepo Verified
ctxlint: a linter for agent context files
Lints CLAUDE.md / AGENTS.md / rules files for staleness, contradiction, and dead links.
Agent-Ready Context
Treat context as a budget, not a dump. Rank material by decision-relevance; evict anything that does not change the next action. Isolate noisy subtasks into subagents. Cache stable material where the platform allows.
Last updated Jul 2, 2026 · maintained by feed7 editorial
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