factoryline-code-factory 0.8.0

The connective layer that snaps SpecLine, ForgeLine, HSF and Prestige together into one spec-to-artifact assembly line. Each module stays independent; factoryline lines them up.

code-factory

Most CI proves that code passes. Code Factory first proves that its gates reject deliberately sabotaged builds.

Run factory with no arguments for a compact live view of installed bricks, local proof counts, and the next valid commands. This agent-first home view avoids a separate help/discovery turn while keeping --help available everywhere.

flowchart LR
    A["Intent / PRD"] --> B["Real build + gates"]
    A --> C["Proof-by-sabotage challenges"]
    C --> S["Spec mutations"]
    C --> F["Empty stubs"]
    C --> H["Decision-rule mutations"]
    C --> D["Hidden or broken UI"]
    C --> I["Trace tampering"]
    B --> P["Factory Passport"]
    S --> P
    F --> P
    H --> P
    D --> P
    I --> P
    P --> G["GitHub summary + badge + Mermaid + attestations"]

New: PRD-to-app building. Factoryline can now turn a PRD or prompt into a full-stack starter repo, then hand it to the same gated, receipted factory flow that powers proof-carrying PRs.

A code factory built like Lego. Five small, independent, open-source pieces that snap together into one assembly line: describe a feature in plain language, and the line checks it for ambiguity, builds it, runs a gauntlet of gates, actually runs the finished code to watch it behave, compiles any decision logic into permanent zero-cost code, and ships it — with a receipt at every step.

Each piece is a separate repo you can install and use on its own. This repo is the baseplate (factory) that lines them up. It depends on none of them.

Workflow at a glance

flowchart LR
    A["Plain-language intent"] --> B["1 SpecLine: clarify and lock the spec"]
    B --> C["2 ForgeLine: build through gated phases"]
    C --> D{"What changed?"}
    D -->|"Business decision logic"| E["3 HSF: compile deterministic artifact"]
    D -->|"User-facing UI"| F["4 Prestige: design-quality gate"]
    E --> G["Receipts and signed artifacts"]
    F --> G
    C --> G
    G --> H["Ship with evidence"]

Use the numbered repos like Lego bricks: start with the baseplate, add the spec brick when intent is fuzzy, add the forge brick when you want a state machine, add the compile brick when decisions must be deterministic, and add the design brick when the shipped thing has a user interface.

intent -> [1-spec] -> spec + strict contract -> handoff
                                                   |
          [2-forge] <---- tasks / plan <----------+
              |  architect -> build -> gates -> smoke -> ship
              |-> if UI -> [4-design] design-quality gate
              +-> if decision table -> [3-compile] -> deterministic artifact

The five pieces

Repo	pip install	CLI	What it does
code-factory (this)	factoryline-code-factory	factory	the baseplate — snaps the bricks together, meters cost
code-factory-1-spec	code-factory-1-spec	specline	kills ambiguity before the AI writes code (anti-drift input contract)
code-factory-2-forge	code-factory-2-forge	forge	the assembly line: architect -> build -> gates -> runtime smoke -> ship
code-factory-3-compile	code-factory-3-compile	hsf	compiles a decision once into boring code that runs forever at zero AI cost
code-factory-4-design	code-factory-4-design	prestige	design-quality gate, for when what you ship has a face

Numbered so the assembly order reads at a glance. Install one, some, or all.

The baseplate's PyPI distribution is named factoryline-code-factory because PyPI reserves the more generic code-factory name. The repository and the factory command deliberately keep the simpler Code Factory identity.

Enterprise knowledge activation

Code Factory treats agent instructions as Atomic Knowledge Units (AKUs): small, high-density, validated units of institutional knowledge. The goal is to move from "retrieve a long doc and hope the agent interprets it" to "activate the right procedure, tools, governance, and validators at the exact step of work."

See AKU_STANDARD.md for the enterprise schema and how each brick maps to codification, compression, injection, and validation.

Quick start

pip install factoryline-code-factory==0.8.0 code-factory-1-spec==0.5.0 code-factory-2-forge==0.9.0 code-factory-3-compile==0.5.1 code-factory-4-design==0.7.0

## Existing Repositories And PRs

Start from inherited code with `forge adopt <feature> --root .`. It writes a
reviewable architecture baseline and, for TypeScript, an explicit mutant
manifest for `forge verify-tests-ts`. FactoryLine exposes the operational
controls professionals need: `factory overhead` reports measured per-gate wall
time, `factory override` writes an owned exception receipt, and `factory ci
init --feature <feature>` writes an opt-in GitHub PR-comment workflow.

factory doctor --strict # versions + required command compatibility
factory plan            # print the assembly pipeline
factory init .          # lay down the shared workspace
factory assemble my_feature   # run the line (skips any missing brick)
factory meter           # receipted cost + savings, computed on YOUR runs
factory rollup my_feature      # aggregate receipt attribution for debugging
factory trace my_feature       # hash-link receipts into a proof bundle
factory verify-trace .factory/traces/my_feature.trace.json
factory replay .factory/traces/my_feature.trace.json --changed smoke/my_feature.json
factory evidence my_feature    # public-safe proof for a PR or release note
factory policy                 # write default policy-as-code thresholds
factory optimize-pr --changed specs/my_feature.md --feature my_feature
factory pr-pack my_feature     # reviewer-ready PR_EVIDENCE.md
factory app from-prd PRD.md --out my-app --purpose saas
factory challenge my_feature --trace .factory/traces/my_feature.trace.json
factory passport my_feature --trace .factory/traces/my_feature.trace.json --challenge .factory/challenges/factoryline.json

factory assemble is resumable and stops at human-owned authoring and approval boundaries. Its JSON output names paused_at and the exact next_command; it does not silently approve architecture or claim unfinished scaffolds are built.

See ProofLab and the Factory Passport for all five challenge commands and the generated Mermaid artifact.

For publication order, GitHub release steps, Claude Code/Codex setup, and launch links, see PUBLICATION_GUIDE.md.

Instant PRD-to-App Builder

factory app is the one-shot app-builder workflow: PRD or prompt in, full-stack starter out, with gates and evidence hooks already attached. Treat the output as app-shaped starting state that must still move through SpecLine, ForgeLine, HSF, Prestige, and Factoryline proof before release.

factory app from-prompt "Build an expense approval app with manager review, audit logs, and policy-based approvals" --out expense-approval
factory app from-prd PRD.md --stack nextjs-fastapi-postgres --purpose healthcare --out prior-auth-portal

It generates app_blueprint.json, PRD.md, frontend/backend/db starter files, smoke tests, and a workflow guide. The point is not to bypass engineering judgment; the point is to make the first app-shaped repo appear instantly while preserving the factory contract.

See docs/APP_BUILDER.md for the visual workflow, illustrative readiness model, generated file tree, and follow-up commands.

PR optimization control plane

Senior review is now a factory surface. factory optimize-pr turns a diff into a bounded hardening plan: changed paths, invalidated gates, design/release checks, terminal states, and the no-auto-merge authority boundary. It is deterministic and safe to run before opening or updating a PR.

factory pr-pack <feature> writes a public-safe reviewer packet from the hash-linked trace: what changed, which receipts proved it, what the meter can honestly measure, and which claims remain scoped. factory policy keeps the team rules visible: hollow-test proof, hollow-validator proof, release readiness, design purpose, and approval boundaries.

Why Lego, not a monolith

• Each brick stands alone. Install only what you need; a missing brick is skipped, not fatal.
• Filesystem interop = maximum portability. Bricks pass work on disk under a shared layout. Any IDE, agent (Codex / Claude Code / Cursor), CI runner, or OS that can run a subprocess drives the factory. No daemon, no network, no lock-in.
• No hidden coupling. The baseplate depends on none of the bricks — it shells out to their CLIs. Upgrade or swap a brick independently.

Honest metering

factory meter makes the "saves time and money" claim yours, computed from your runs:

• With no measured runs, it refuses to print a savings percentage — no number against zero data.
• When modules don't report token usage, it labels the figure a model, not a measurement, and says so.
• It prints the baseline assumption inline, so no number hides what it's compared against.

Wall-clock time is always measured. Projections are always labeled. Nothing is fabricated.

Proof-carrying PRs

factory trace <feature> writes .factory/traces/<feature>.trace.json: a deterministic proof bundle over the latest compatible receipts for that feature. Each trace node records the stage, command, receipt hash, declared artifact hashes, previous node hash, and attribution summary. The chain head makes receipt or artifact tampering visible. factory rollup <feature> is the lower-level receipt attribution view for debugging failed stages; factory evidence <feature> is the public-safe view for PRs, release notes, and README claims.

factory trace checkout_flow
factory verify-trace .factory/traces/checkout_flow.trace.json
factory rollup checkout_flow
factory risk-diff --changed smoke/checkout_flow.json
factory replay .factory/traces/checkout_flow.trace.json --changed smoke/checkout_flow.json
factory replay .factory/traces/checkout_flow.trace.json --changed smoke/checkout_flow.json --execute
factory attest .factory/traces/checkout_flow.trace.json
factory evidence checkout_flow

This is the enterprise Lego layer: the factory can say which guarantee a change invalidates, which minimum stages must rerun, whether the trace still verifies, and what public evidence can be shown without leaking raw logs. If a smoke check is hollow, the public evidence can say hollow_test; if the trace was tampered with, verify-trace fails before anyone trusts the PR. factory attest exports unsigned in-toto/SLSA-shaped JSON statements for teams that want supply-chain evidence attached beside a PR, release, or wheel.

Spec validator mutation

The assembly line now validates the spec instrument itself:

specline strict checkout_flow --json
specline verify-validators checkout_flow --json

verify-validators deletes or inverts one requirement at a time and requires strict lint to kill the mutant. A requirement whose mutant still passes reports hollow_validator: the spec looked valid, but no validator proved that requirement mattered. In the default factory chain, this runs after specline:strict and before spec gate signoff or downstream build stages.

Cross-platform

The baseplate runs on Python 3.10-3.12. The four numbered bricks run on Python 3.11-3.12. Their CI matrices cover Ubuntu, Windows, and macOS.

License

MIT OR Apache-2.0. Free and open source. Each brick carries both license texts. Commercial support and integration services available — see SUPPORT.md.