code-forge

A 5-step code review pipeline for AI coding assistants. Treats review as a state machine: three independent passes per cycle, three consecutive clean cycles required, any finding resets the counter. The minimum path to a commit is 9 static review passes plus a runtime smoke test.

Why

AI coding assistants ship code that compiles, runs, and looks right. Single-pass review (Copilot, Cursor, CodeRabbit, etc.) catches the obvious defects but misses two failure modes:

• Author and reviewer collapse. When the same model writes and reviews the change, it inherits its own blind spots. code-forge runs three independent review perspectives (qodo, expert, adversarial) and treats their findings as untrusted claims that must be reproduced before any fix.
• Self-claimed completion. Hooks that gate on "I finished" markers are bypassable by any agent that can write a string. code-forge gates on actual state: a real pre-commit hook running the test suite, a mutation runner proving the tests catch regressions, and a coverage heuristic detecting drift across components.

Quick start

pip install code-review-forge
code-forge install-skill

The first command installs the CLI (Python >=3.12). The second copies the 6 review skills into ~/.claude/skills/. Then in Claude Code, run the full pipeline:

/code-forge

Or invoke individual passes:

/qodo-review          # change-aware pre-review (Pass 1)
/code-review-expert   # SOLID, architecture, security (Pass 2)
/adversarial-qe       # red-team QE, 12 attack dimensions (Pass 3)
/kernel-fp-verify     # false-positive verification (Step 3.5)
/smoke-test           # runtime verification (Step 4)

Other agent targets:

code-forge install-skill --target vscode      # <cwd>/.claude/skills/
code-forge install-skill --target universal   # <cwd>/.agents/skills/
code-forge install-skill --dest /path/to/dir  # explicit location
code-forge install-skill --skill code-forge   # one skill only
code-forge install-skill --force              # overwrite existing

Backend configuration

By default, code-forge uses the claude CLI in your PATH with the session model (no model pin). Three environment variables control the backend:

Variable	Purpose	Default
FORGE_BACKEND	Select a named backend from backends.yaml	session-default
FORGE_OUTLET	Force outlet: cli or inline	auto-detected
FORGE_LLM_MODEL	Override model for CLI backends	claude-sonnet-4-6

Quick examples:

# Use the default (claude CLI, session model)
code-forge review

# Pin a specific model for this run
FORGE_LLM_MODEL=claude-opus-4-5 code-forge review

# Use a named API backend from backends.yaml
FORGE_BACKEND=claude-api code-forge review

# Force inline outlet (no CLI subprocess)
FORGE_OUTLET=inline code-forge review

Named backends (optional) are defined in ~/.config/code-forge/backends.yaml:

backends:
  - name: claude-api
    type: api
    format: anthropic
    base_url: https://api.anthropic.com
    api_key_env: ANTHROPIC_API_KEY
    default: true
  - name: openai
    type: api
    format: openai
    base_url: https://api.openai.com/v1
    api_key_env: OPENAI_API_KEY
  - name: local-claude
    type: cli
    model: claude-opus-4-5
    command: claude

Full reference: docs/configuration.md

Editor setup guides:

• VS Code: docs/setup-vscode.md
• Cursor: docs/setup-cursor.md
• PyCharm: docs/setup-pycharm.md

The pipeline

Code Change
     |
     v
[Step 0]  Syntax (0a) + Lint (0b) + Non-ASCII (0c)
     |
     v
[Cycle 1] Pass 1: qodo-review
          Pass 2: code-review-expert
          Pass 3: adversarial-qe
     |
     |  zero findings -> counter += 1
     |  any finding   -> fix, counter = 0, restart Cycle 1
     v
[Cycle 2] (same 3 passes)
     |
     v
[Cycle 3] (same 3 passes)
     |  counter = 3
     v
[Step 3.5] kernel-fp-verify (if fixes were applied during cycles)
     |
     v
[Step 4]   smoke-test (runtime verification)
     |
     v
[COMMIT GATE]  # post-review-c3

What ships

Skill	Step	Purpose
code-forge	Orchestrator	Runs the full 5-step pipeline
qodo-review	Pass 1	Change-aware pre-review with feature-grouped walkthrough
code-review-expert	Pass 2	SOLID, architecture, security analysis
adversarial-qe	Pass 3	Red-team QE with 12 attack dimensions
kernel-fp-verify	Step 3.5	10-step false-positive verification protocol
smoke-test	Step 4	Runtime verification with bash assertion primitives

What code-forge does that others don't

• Multi-pass convergence. Three consecutive clean cycles from three independent perspectives. Any finding resets the counter to zero. Copilot, CodeRabbit, Cursor, and Devin are single-pass.
• Anti-hallucination gates. code-forge treats LLM review output as untrusted claims. Parser-deterministic findings auto-confirm; LLM findings require falsification before disposition; Step 4 runs the actual code. Prompt-only mitigations cap at 15% hallucination reduction; tool grounding reaches 65-80% (CodeAnt and Suprmind data, 2026).
• Real commit gate (R1). A real .git/hooks/pre-commit that runs the test suite and blocks on NEW failures vs a baseline. Gates on diff content and test results, not a self-claimed marker. Closes the terminal-and-IDE bypass that PreToolUse hooks cannot reach.
• Mutation-gated review (R2). Diff-scoped mutation runs after static review and before the verdict. Each mutant introduced into the changed code is run against the test suite; a surviving mutant flags tests that cannot catch the change. Toothless tests block the same cycle that finds the defect.
• Cross-component coverage heuristic (R3). Detects diffs that span multiple source areas with a changed function signature. An opt-in components mapping raises an uncertain finding when a hub and a dependent both change in the same diff and no integration test under the dependent's paths matches the configured test patterns.

Honest limitations

• No cross-repo impact. code-forge reviews a single repository. Multi-repo dependency analysis requires CodeRabbit-style tooling or Chromium's Cq-Depend.
• No feedback learning. code-forge does not adapt to dismissed findings or developer preferences. Each review is independent.
• No long-term maintainability scoring. code-forge does not assess technical debt accumulation. SonarQube's tech-debt tracking is the closest automated approximation.
• No performance regression suite. No benchmark harness equivalent to Rust's perf.rust-lang.org.
• R3 is artifact-presence, not coverage proof. The cross-component check confirms an integration test file exists under the expected path; it does not verify that the test exercises the specific code that changed. A present-but-stale test passes the gate.

Static review (3-cycle convergence) is one layer. code-forge learned from its own Phase 2 experience where 9 static passes and 639 mock tests missed 3 bugs that dynamic verification caught. Verification grounding (test suite + mutation + e2e coverage check) is the thesis -- not a passes count.

Requirements

• Python 3.12 or newer
• jq for the bash smoke primitives
• Claude Code or a compatible AI coding assistant for skill invocation

Installation alternatives

git clone

git clone https://github.com/HouMinXi/forge.git
cd forge
./install.sh

Symlinks each of the 6 skills from ~/.claude/skills/<name> to this repo's skills/<name>. Hook installation is manual -- see hooks/README.md and hooks/settings-snippet.json.

Hooks (reference implementations)

Hook	Trigger	Purpose
check_worktree.sh	PreToolUse Edit/Write	Block edits in main worktree
check_non_ascii.sh	PreToolUse Write/Edit	Non-ASCII character detection
check_read_before_edit.sh	PreToolUse Edit	1:1 read-before-edit ratio
check_review_tracker.sh	PostToolUse Bash	Review cycle state machine
check_git_commit_review.sh	PreToolUse Bash	Block unreviewed commits
check_git_push_review.sh	PreToolUse Bash	Block unreviewed pushes

Some hooks contain environment-specific logic (Kerberos auth, pattern matching) you will need to adapt. See hooks/README.md.

Bash smoke primitives

skills/smoke-test/test-library/shell/ ships 19 reusable bash assertion functions with no dependencies beyond jq:

• run_and_capture, run_concurrent, concurrent_wait
• assert_success, assert_failure, assert_exit_code
• assert_output_contains, assert_output_not_contains
• assert_stderr_contains, assert_stderr_empty
• assert_file_exists, assert_file_not_exists, assert_file_contains
• assert_json_valid
• assert_no_zombie, assert_temp_clean
• assert_no_command_exec, assert_no_command_exec_json, assert_no_path_traversal

A backward-compatible symlink at test-library/ points to skills/smoke-test/test-library/ for users migrating from bash-smoke-primitives.

Documentation

• evidence/cross-model-complementarity.md -- why 3 different review passes
• evidence/design-iterations.md -- how the pipeline evolved
• evidence/ground-truth-verification.md -- why smoke tests must inject bugs
• evidence/shell-assertion-footguns.md -- 5 bash-specific traps
• evidence/v9-model-coverage-matrix.md -- 4-model coverage data
• hooks/README.md -- hook installation and adaptation guide

Contributing

Issues and discussion: https://github.com/HouMinXi/forge/issues.

License

Apache-2.0