Lint, diff, and analyse product requirements from the command line
Product requirements are often trapped in documents, making them difficult to review, validate, and track over time.
RAC brings software engineering workflows to product requirements.
Write requirements in Markdown. Store them in Git. Validate them, compare versions, and analyse change over time.
Markdown
↓
Product Model
↓
Validation
↓
Diffing
↓
Portfolio Analysis
↓
AI Review (future)
Engineers have mature tooling for code:
- Linters
- Code review
- Diffs
- Static analysis
- Version control
Product requirements typically have none of these.
RAC applies the same principles to product requirements.
rac validate bond_dashboard.mdrac diff bond_dashboard_v1.md bond_dashboard_v2.mdrac stats ./featuresCreate a requirement file:
# Bond Dashboard
## Problem
Retail investors struggle to understand interest-rate exposure.
## Requirements
- [REQ-001] User can view portfolio holdings
- [REQ-002] User can view portfolio duration
- [REQ-003] User can view portfolio yield
## Success Metrics
- Monthly Active Users
- Dashboard Views
## Risks
- Inaccurate market dataValidate it:
rac validate bond_dashboard.mdOutput:
PASS
Now compare two versions:
rac diff bond_dashboard_v1.md bond_dashboard_v2.mdOutput:
Added Requirements
+ REQ-004 View projected yield forecast
Modified Requirements
~ REQ-002
Before:
User can view portfolio duration
After:
User can view and compare portfolio duration
RAC compares product changes, not just text changes.
pip install requirements-as-codeuv tool install requirements-as-codeVerify installation:
rac --helpCreate a file:
touch feature.mdAdd requirements:
# Trade Alerts
## Problem
Investors miss important market movements.
## Requirements
- [REQ-001] User can create a trade alert
- [REQ-002] User can edit a trade alert
- [REQ-003] User can delete a trade alertValidate:
rac validate feature.mdCompare versions:
rac diff old.md new.mdRAC follows a few simple principles.
Requirements should remain easy to write and review.
RAC uses Markdown as the source format.
No proprietary editors.
No custom file formats.
Requirements should work naturally inside:
- GitHub
- GitLab
- VS Code
- Cursor
- Claude Code
RAC should be useful without AI.
The foundation is:
- structure
- validation
- diffing
- analysis
AI is an enhancement, not a dependency.
Internally, RAC converts Markdown into a structured Product Model.
Markdown
↓
Parser
↓
Feature Model
↓
Validation
↓
Diffing
↓
Stats
This enables reliable analysis without relying on fragile text processing.
Every feature is represented by a single Markdown file.
Example:
# Feature Title
## Problem
Problem statement.
## Requirements
- [REQ-001] Requirement text
- [REQ-002] Requirement text
## Success Metrics
- Metric 1
## Risks
- Risk 1Required:
# Title## Problem## Requirements
Optional (recommended):
## Success Metrics## Risks
Validate a requirement file.
rac validate feature.mdChecks:
- Required sections exist
- Requirement IDs are valid
- Requirement IDs are unique
- Requirement text is not empty
Warnings:
- Missing risks
- Missing success metrics
- Duplicate requirement text
- Ambiguous wording
Compare two versions of a feature.
rac diff old.md new.mdDetects:
- Added requirements
- Removed requirements
- Modified requirements
- Added metrics
- Removed metrics
- Added risks
- Removed risks
Requirements are matched by ID.
Portfolio-level analysis. Recursively scans a directory for *.md files
(skipping dotted folders like .git), parses and validates each one, and
aggregates the totals. Files that fail validation are still counted and are
listed separately rather than skipped silently.
rac stats ./featuresExample output:
Portfolio Overview
==================
Features: 12
Requirements: 87
Metrics: 24
Risks: 18
Quality
=======
Features Missing Metrics: 2
- Trade Alerts
- Watchlists
Features Missing Risks: 3
- Trade Alerts
- Watchlists
- Onboarding
Average Requirements Per Feature: 7.3
Largest Feature: Bond Dashboard (16 requirements)
Requirements by Feature
=======================
Bond Dashboard 16
Trade Alerts 11
Watchlists 8
Onboarding 3
Invalid Features (1)
./features/draft.md — missing-title, missing-requirements
Counts span all parsed requirement files; a feature with only warnings (e.g. no metrics) still counts as valid. Invalid files are listed at the end so they are never silently skipped.
Decision artifacts are aggregated separately so they never distort the
requirement totals or averages. When a directory contains decisions, a
Decisions section reports the count plus a status and category breakdown:
Decisions
=========
Total: 17
Status
- Accepted: 12
- Proposed: 3
- Superseded: 2
Category
- Architecture: 8
- Product: 5
- Process: 4
Add --json for machine-readable output (a decisions block is included only
when decisions are present). stats exits 0 when the directory has at least
one valid feature or decision, 1 if none, and 2 if the path is not a
directory. (A --strict flag for failing on any invalid file — handy in CI —
is planned.)
Convert an existing document into Markdown so it can enter the RAC workflow.
Ingestion only converts and preserves structure — it does not decide whether
the result is a valid RAC artifact (that is the job of future inspect /
normalize commands).
rac ingest spec.docx # print converted Markdown (preview)
rac ingest spec.docx --stdout # same, explicit (handy in pipelines)
rac ingest spec.docx -o spec.md # write it to a file
rac ingest spec.docx -o spec.md --force # overwrite an existing file
rac ingest spec.docx --json # { source, converter, output, markdown }Conversion is powered by MarkItDown, installed via optional extras — split by format so you only pull the readers you need:
| Extra | Adds | Formats |
|---|---|---|
ingest |
markitdown[docx] |
DOCX, HTML, Markdown |
ingest-pdf |
markitdown[pdf] |
|
ingest-office |
markitdown[pptx,xlsx,xls] |
+ PPTX, XLSX, XLS |
ingest-all |
everything above | all supported formats |
pip install "requirements-as-code[ingest]" # DOCX + HTML + Markdown
pip install "requirements-as-code[ingest-all]" # everythingHTML and Markdown need no extra (HTML is built into MarkItDown; Markdown is a
pass-through). If a file's reader isn't installed, rac ingest tells you exactly
which extra to install. Converters live behind a DocumentConverter abstraction,
so new sources can be added without changing the CLI.
ingest exits 0 on success, 1 if a recognized document fails to convert, and
2 for usage errors (file not found, unsupported type, missing ingest extra,
or an existing output file without --force).
Identify what kind of artifact a Markdown document is, and report which expected
sections are present or missing. Inspection is read-only and observational —
it answers "what is this?", not "how should I improve it?" (that's a future
improve command).
rac inspect bond-dashboard.md
rac inspect bond-dashboard.md --json
cat decision.md | rac inspect - # read from stdin
rac ingest prd.docx --stdout | rac inspect - # ingest then inspectOutput:
Artifact Type: Requirement
Confidence: 71%
Present Sections:
✓ Problem
✓ Requirements
✓ Success Metrics
Missing Sections:
✗ Risks
✗ Assumptions
RAC classifies the document against known artifact schemas (no AI) and reports a
confidence score. v0.4 recognizes Requirement and Decision artifacts;
anything that doesn't fit well is reported as Unknown (a valid, successful
result — not an error). --json emits { type, confidence, present_sections, missing_sections }.
Point inspect at a directory to get a summary across many files (recursive by
default; --top-level limits it to the directory's own files):
rac inspect planning/
rac inspect planning/ --top-level
rac inspect planning/ --json # versioned summary + per-file arrayFiles Inspected: 23
Requirements: 7
Decisions: 3
Unknown: 13
rac inspect bond-dashboard.md --verboseArtifact Type: Requirement
Confidence: 71%
Required Matches:
✓ Problem
✓ Requirements
Recommended Matches:
✓ Success Metrics
Missing:
✗ Risks
✗ Assumptions
Score: 2 + 0.5 × 1 = 2.5 / 3.5 = 0.71
Decision artifacts (ADRs) may carry lightweight, optional metadata. When present,
inspect extracts it and validate checks the values:
## Status
Accepted
## Category
Architecture
## Supersedes
ADR-012| Field | Supported values | Validated? |
|---|---|---|
| Status | Proposed, Accepted, Superseded, Deprecated | yes |
| Category | Architecture, Product, Process, Technical, Other | yes |
| Supersedes | any reference (free text) | no — metadata only |
inspect surfaces these under a Decision Metadata block (and in --json as
status / category / supersedes, present only when declared). Metadata is
optional: a decision without it is still valid. Only an unsupported Status
or Category value fails validation (invalid-decision-status /
invalid-decision-category); values are matched case-insensitively.
Common heading variants are recognized automatically (case-insensitive,
deterministic) — e.g. Success Criteria and KPIs both count as Success Metrics,
and Alternatives counts as Alternatives Considered.
inspect exits 0 for any completed inspection (including Unknown) and 2 for
usage errors (file not found, or a non-Markdown file — convert it with
rac ingest first).
Where inspect tells you what an artifact is, improve tells you what to add
next and how to think about completing it. It reports the required and
recommended sections an artifact is missing, plus schema-defined guidance for
those sections — deterministically, from the schema, with no AI (ADR-002).
improve is advisory and read-only: it never modifies your files and never
generates content beyond _TODO_ placeholders and guidance comments.
rac improve requirement.md
rac improve requirement.md --template # Markdown skeletons for missing sections
rac improve requirement.md --json
cat requirement.md | rac improve - # stdin
rac ingest prd.docx --stdout | rac improve -Default output:
Artifact Type: Requirement
Missing Required:
(none)
Missing Recommended:
- Risks
• What could prevent successful delivery?
• What dependencies or unknowns exist?
- Assumptions
• What are you assuming to be true?
• What would change the approach if it turned out false?
--template turns the gaps into a ready-to-paste skeleton (required sections
first, then recommended), with deterministic guidance comments per section:
## Risks
_TODO_
<!-- What could prevent successful delivery? -->
<!-- What dependencies or unknowns exist? -->So you can go straight from rac inspect requirement.md to
rac improve requirement.md --template without consulting any documentation.
--json returns a stable contract (ADR-007):
{
"type": "requirement",
"missing_required": [],
"missing_recommended": ["risks", "assumptions"],
"guidance": {
"risks": [
"What could prevent successful delivery?",
"What dependencies or unknowns exist?"
],
"assumptions": [
"What are you assuming to be true?",
"What would change the approach if it turned out false?"
]
}
}improve generates suggestions for artifact types with complete schema guidance
coverage. Today that means Requirement and Decision artifacts. Unknown
documents return a short explanatory message instead. Future artifact types do
not become improvable until their schemas define guidance for every required and
recommended section.
Guidance is informational metadata only: it does not influence classification, validation, confidence scoring, statistics, or repository analysis.
improve is advisory: it exits 0 for any completed analysis (with or without
suggestions) and 2 for usage errors. The presence of suggestions never changes
the exit code.
Inspect RAC's registered artifact schemas without creating a file.
rac schema --list
rac schema --list --json
rac schema requirement
rac schema decision --json
rac schema requirement --templaterac schema <type> shows the full schema reference: required, recommended, and
optional sections; descriptions; guidance; and metadata values where applicable.
Artifact Type: Decision
Required Sections:
- Context
- Decision
- Consequences
Recommended Sections:
- Status
- Category
- Alternatives Considered
Optional Sections:
- Supersedes
Metadata Fields:
- Status: Proposed | Accepted | Superseded | Deprecated
- Category: Architecture | Product | Process | Technical | Other
--json returns the same schema data as grouped arrays and maps:
{
"type": "requirement",
"required": ["problem", "requirements"],
"recommended": ["success_metrics", "risks", "assumptions"],
"optional": [],
"descriptions": {},
"guidance": {},
"metadata": {}
}--template emits a structurally valid Markdown starter. Templates are useful
starting points, not finished artifacts: users still replace TODO text with
meaningful product knowledge.
rac schema requirement --template > requirement.md
rac schema decision --template > decision.mdGenerated templates are validation-safe:
rac schema requirement --template | rac validate -
rac schema decision --template | rac validate -Unknown schemas fail with exit code 2 and list available schemas. Only
registered schemas are supported; custom schemas are out of scope.
AI-assisted product review.
rac review feature.mdPotential checks:
- Missing requirements
- Missing risks
- Ambiguity
- Product concerns
- Engineering concerns
RAC will use the user's configured AI provider rather than requiring hosted infrastructure.
- Markdown parser
- Product Model (AST)
- Validation
- Diffing
- CLI
- Portfolio statistics
- Quality metrics
- Repository-wide analysis
- AI review
- Provider abstraction
- Git-aware workflows
- Product intelligence
- Daily product briefs
- VS Code integration
Contributions, ideas, and feedback are welcome.
The project is intentionally focused on one goal:
Treat product requirements like code.
MIT