Verified project record
EveryInc/compound-engineering-plugin
An opinionated six-step AI engineering workflow plugin that structures planning, implementation, review, and knowledge capture to counter technical debt. It is designed for developers and AI engineers working within existing codebases who need multi-agent review and accumulated project documentation.
Project overview
An opinionated six-step AI engineering workflow plugin that structures planning, implementation, review, and knowledge capture to counter technical debt. It is designed for developers and AI engineers working within existing codebases who need multi-agent review and accumulated project documentation.
- Project type
- AI Agent · AI Coding
- Use cases
- Coding & Development
- Deployment
- Refer to project documentation
- License
- MIT
Best for
- Developers and AI engineers working on complex features within an existing codebase who need a structured methodology for planning, execution, and review.
- Teams using AI coding agents who want a hands-off pipeline that handles work execution, code review, testing, and CI monitoring.
- Engineers who need to reproduce failures, trace root causes, and prepare non-trivial fixes for pull requests.
Key capabilities
- A question-and-answer skill used to think through a feature or problem, resulting in a requirements-only unified plan before implementation planning begins.
- Takes feature ideas or requirements-only plans and enriches them into implementation-ready plans.
- Performs a multi-agent review of the code against the established plan before merging.
- Reproduces failures, traces root causes, fixes bugs, and prepares non-trivial fixes for a pull request.
- A hands-off engineering loop that plans, executes the plan, simplifies the work, runs code reviews, applies fixes, runs browser tests, commits, pushes, opens a pull request, and monitors CI.
- Captures learnings from solved problems into documentation so that the next engineering loop starts with more context.
Limitations and risks
- The plugin is opinionated by design, and maintainers may not accept changes that do not fit their specific vision.
- Previous installation paths may leave obsolete tool map blocks that require manual cleanup in global Codex instructions.
- GPU, telemetry, data boundaries, and cost dependencies are not documented.
Getting started
- Installation difficulty is rated easy because it is natively integrated into Claude Code via its standard plugin marketplace without requiring manual build steps.
- Users can install the plugin by running the marketplace add command, installing the compound-engineering plugin, and running the /ce-setup command in a project.
Evidence and sources
- GitHub project description: Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
- README: Traditional development accumulates technical debt. Every feature adds complexity. Every bug fix leaves behind a little more local knowledge that someone has to rediscover later.…
- README: The core loop is six steps: **brainstorm** the requirements, **plan** the implementation, **work** through the plan, **simplify** what you wrote, **review** the result, then **com…
- README: *Instead of brainstorm -> plan -> work* when the input is a bug rather than a feature -- reproduce, trace root cause, fix, then polish/review before PR handoff when warranted
- README: `/lfg` runs the loop hands-off: it plans, works through the plan, simplifies, runs code review and applies the fixes, runs browser tests, commits, pushes, opens a PR, then watches…
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