Open-Source Framework Treats AI Context Windows as Managed Budgets, Not Catch-Alls

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A developer has released an open-source Context Engineering Framework designed to bring discipline to how AI coding assistants load and use information within their context windows. The framework, hosted in a growing dot-files repository, supports six major AI tools including Claude Code, Cursor, Windsurf, GitHub Copilot, Gemini, and OpenAI Codex, and currently includes 24 agents and 53 skills. At its core, a dedicated context-engineer agent produces a structured 'context-manifest' before any pipeline work begins, explicitly scoping which files, prior decisions, and knowledge items are relevant rather than letting context accumulate by accident. The framework also distinguishes between context, memory, and learning as separate concerns, and introduces 'context decay' — summarizing artifacts older than two pipeline phases to roughly 200 words instead of loading them verbatim. The goal is to prevent downstream agents in multi-step pipelines from being burdened by stale or irrelevant material that degrades output quality.

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How Upfront Software Design Saved a Solo AI Project from Costly Rewrites

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

MarketNow audited 8,764 MCP servers using gVisor, flagging critical security risks

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