code-factory

mcp
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Bu listing icin henuz AI raporu yok.

SUMMARY

Build a local MVP, catch hollow tests, and prove AI-assisted changes before review. Free, local-first, receipt-backed.

README.md

Code Factory

CI
PyPI
Python
Hugging Face Space
GitHub stars
Latest release

Generate a local MVP, then catch hollow tests before review.

Free, local proof for AI-assisted code. Start from a plain-language
outcome, a fuzzy PRD, or a risky diff. Tests that only look green are not
proof: Code Factory makes the next proof gap visible and never calls a
starter production-ready before the relevant proof exists.

factory mvp "Build an approval tracker" --root .

See actual Factory Studio or open the
live Hugging Face Space.

Actual Factory Studio: the outcome-first local MVP path

What it does

  • Start a real project. Turn one outcome into a contained web, mobile, API,
    CLI, worker, MCP, or agent-UI starting state.
  • Review what AI produced. Turn requirements, diffs, proofs, and blockers into
    receipts, Graph Ops, and one fact-derived next action.
  • Refresh the evidence that matters. Watch a local Assembly while it runs,
    refresh the next-proof brief, and see privacy-bounded observed Git contribution
    context without pretending it is a verified directory or billing roster.
  • Keep "done" honest. Challenge declared validators for hollow tests; a
    green-looking scaffold is never called production-ready by default.

For teams: use the Teams and Enterprise Operations Manual
to run the same proof-first loop with named reviewers, approved AI-change scope,
and explicit Proof Debt—without giving Code Factory merge, release, or provider authority.
The commercial packaging guide keeps the free
core separate from proposed Team and Enterprise services that are not purchasable yet.
For a human-selected, customer-managed reference pilot, the local
Team Pilot readiness gate hash-binds the operating
evidence for owner review; it does not accept a customer or activate a paid service.

Design is part of the review. For UI-scoped work, add the optional
Prestige Design Review: a purpose-led design brief
plus review artifacts for hierarchy, responsive behavior, affordances,
consistency, and declared design tokens. It makes design quality visible; it
does not claim a conversion result, WCAG certification, or production readiness.

Reuse a proven decision without reusing stale context. Factory
Continuity
keeps a local, purpose-bound record of
the evidence behind prior work. Graph Ops can replay only redacted, current,
independently promoted metadata; it does not store private source, prompts,
embeddings, or transcripts, and it cannot execute a repair.

Install

# No account, model key, or cloud connection is required for this local run.
pip install factoryline-code-factory
factory mvp "Build an approval tracker" --root .
factory studio --root .\my-mvp

If Code Factory helps you find a proof gap or makes an AI-assisted change easier
to review, star Code Factory so other
developers can find it. This optional link only opens the repository.

Choose the job in front of you

If you need to… Use You get
Build a first slice factory mvp A contained, app-shaped local starting state
Clarify a fuzzy PRD factory prd grill Source-bound questions instead of invented requirements
Review an AI-assisted diff factory change review A local risk, proof-gap, and next-action packet
Turn a diff into the next safe proof factory memory brief Refreshable actions, redacted continuity facts, and observed local Git contribution context
Keep an agent diff inside approved scope factory plan verify Exact plan alignment and explicit Proof Debt—not another AI opinion
Prove an E2E check can say no factory e2e verify A native positive/negative command-pair receipt that catches hollow E2E checks
Prepare a bounded Team pilot factory team-pilot readiness Hash-bound, customer-managed readiness evidence for owner review—not a checkout or service activation
Add evidence to a GitHub PR factory github proof-review One neutral Check and stable proof walkthrough, tied to the head commit
Detect policy drift before a human merge factory github assurance-dossier Deterministic supplied-policy comparison, named expiring exceptions, and a merge-evidence packet
Inspect delivery state factory studio Graph Ops, receipts, and the next supported action
Debug why two graph runs diverged factory graph forensics Hash-sealed state lineage, concurrency findings, and a read-only recovery preview
Choose among competing repairs factory proofsearch Hash-bound candidate rejection, mutation-tested evidence, a deterministic winner, and locked apply authority
Decide what evidence to collect next Evidence Frontier A deterministic next-test hypothesis that separates repair candidates, with execution locked
Reconsider verified prior work safely Factory Continuity Purpose-bound, expiring Decision Replay metadata with independent promotion and no private content
Prove one user-visible behavior Factory Reality Check Deep intent assertions, a deliberate failure case, and an optional named one-time re-run authorization
Verify supplied work Verifier Plane Independent, hash-bound evidence checks

For the short product map, read the overview. For a two-minute
first run, follow Start Here. For full command and contract
reference, browse the documentation directory.

Use Code Factory with CodeRabbit or another AI reviewer

They solve different parts of the review problem. CodeRabbit can supply AI
findings and suggestions; Code Factory makes declared local proof gaps,
coverage, and the next review action explicit. Enable the opt-in
GitHub Proof Review workflow to put one neutral,
commit-bound FactoryLine Check and walkthrough beside existing CodeRabbit
comments. It uses no CodeRabbit account, API, credential, or output as proof.

For agent-created pull requests, add a small human-approved
factory.agent_plan.v1 envelope. Plan-to-Proof
compares that plan with the exact diff and exposes Proof Debt: unresolved
scope, declared-test, human-routing, and existing proof obligations that must
be settled before a team makes its own merge decision.

That makes Code Factory a standalone proof layer for teams that do not use an AI
reviewer, and a complementary evidence layer for teams that do. For
agent-created pull requests, Code Factory does not replace human review,
auto-approve a pull request, or merge code.

Use it where you work

Code Factory keeps the same local, receipt-bound workflow across the command line,
VS Code, and the JetBrains plugin.
It also provides local stdio Cursor or OpenCode MCP
without handing an AI client permission to publish, deploy, approve, sign, or access
credentials.

FactoryLine is free through December 31, 2026. The owner-approved January 1, 2027
JetBrains plan is $4.95 USD per month; it is not active until the Marketplace
release and pricing gates are satisfied. See the Marketplace control-room guide
for compatibility, pricing, and approval boundaries.

The separate GitHub-oriented offer is free through December 1, 2026 and is
scheduled at $5.95 USD per named seat per month from December 2, 2026.
Its planned GitHub Assurance Seat focuses on commit-bound proof review, visible
Proof Debt, policy-drift dossiers, governed exceptions, and exportable evidence—not source access or
opaque AI-token resale. It is not active: no GitHub checkout, entitlement, or
license enforcement exists, and the source license is unchanged. See the
GitHub per-seat plan.

The proof boundary

Code Factory creates and inspects local artifacts. It does not silently call a
model, discover credentials, publish, deploy, sign, approve, message, or grant a
connector. Its deterministic proof receipts bind supplied byte bindings, declared
identities, and evidence; an external runner must separately prove runtime isolation
and network policy. Token, cost, and productivity claims remain unknown until a bound
measurement exists.

flowchart LR
  intent["Plain-language outcome"] --> mvp["Local MVP"]
  mvp --> evidence["Receipts and declared checks"]
  evidence --> review["Graph Ops / review packet"]
  review --> decision["One evidence-backed next action"]

Use PRD Grill before code exists, the deterministic
contradiction gate when requirements collide, Proof Review
when a diff arrives, and the Verifier Plane when a worker
claims it is finished. The local MCP contract and generated Mermaid
output map make the same proof context reusable by a client you choose.

Go deeper when you need it

License

MIT OR Apache-2.0.

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