Deep Suite

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Deep Suite

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**AI coding agents are powerful, but they fail in predictable ways** — they skip research, over-edit, drift from the architecture, approve their own work, and lose context between sessions.

Deep Suite is a **harness layer for AI coding agents** that makes agentic coding structured, verifiable, and durable: the agent plans before it codes, an independent evaluator reviews what it wrote, knowledge is captured instead of lost, and long-running work carries across sessions. Claude Code and Codex have native marketplace surfaces; the underlying skill and artifact contracts are designed for compatible AI agent tools in general.

Start here — install one plugin, not ten

Plugin	What it fixes
deep-work	Coding before thinking. Enforces a spec-first, TDD-driven flow: Brainstorm → Research → Spec → Plan → Implement → Test.
deep-review	Self-approval bias. A separate evaluator agent reviews AI-written code, so the author never signs off on its own diff.
deep-loop	Losing the thread on long tasks. Durable, proposal-only orchestration that keeps multi-session work moving safely.

Need a different capability? Use the full [problem → plugin decision table](#integrated-workflow).

Before:  Agent edits straight away   →  skips tests  →  approves its own diff
After:   deep-work runs research → spec → plan → TDD → receipt,
         then deep-review signs off independently

The remaining seven plugins — **wiki, memory, docs, dashboard, evolve, goal, model router** — extend the suite with knowledge capture, cross-project memory, doc