A spec-driven development workflow for AI coding assistants that agrees on proposals, specs, and tasks before any code is written.
#context-engineering
Open-source projects tagged “context-engineering”
Curated GitHub repositories related to context-engineering, with AI summaries and key stats.
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A Claude Code plugin with self-correcting memory, persistent FTS5 research wikis, and skills, commands and hooks for AI-assisted coding workflows.
Open-source skill memory layer that turns agent learnings into editable Markdown skill files shared across agents and LLMs.
A CLI that scans your codebase and generates compact AI context files so coding assistants spend fewer tokens exploring the project.
Two free online books on harness engineering, analyzing how Claude Code and Codex keep AI coding agents bounded and accountable.
A curated Awesome list of resources, patterns, and templates for designing the scaffolding around AI agents: tools, memory, MCP, permissions, evals, and orchestration.
A non-official Chinese learning handbook for the Pi Coding Agent, a minimal terminal coding harness, covering setup through Sessions, Context, Skills, Extensions and subagents.
An open-source Chinese book on AI Agent design, built around Agent = LLM + context + tools, with runnable companion experiments per chapter.