01
Explore and discuss
Ask questions, inspect code, review requirements, and debate changes without pretending a full workflow session has started.
Industrial-grade engineering discipline
NASA-grade ideas for the AI era of engineering.
ReqProof brings high-assurance engineering ideas into ordinary product teams: spec-driven development, workflow gates, traceability, auditability, and formal checks where the model supports them. It goes beyond classic requirements management by making intent, implementation, and evidence operational in the same repository.
Not process theater
Built for teams that still ship in Git, still move fast, and still need rigor.
Human and AI compatible
Exploration can stay loose. Real change can become stage-aware and reviewable.
More than requirements storage
Workflow, trace, audit, verification, and release evidence live in one system.
Product thesis
Take aerospace and automotive discipline. Remove the dead weight. Keep the control.
Most teams do not need the full bureaucracy of a high-assurance program. They do need the ideas behind it: explicit intent, staged change, traceable implementation, reviewable evidence, and proofs where claims are formalized enough to support them.
Spec-driven development instead of post-hoc rationalization
Requirements stop being a document graveyard and become an active part of the engineering loop.
Formal where useful, honest where not
ReqProof does not claim to magically prove everything. It proves properties where the model exists and keeps the rest auditable and explicit.
Built for the AI coding age
As code generation accelerates, the weak point becomes intent, workflow discipline, and evidence. That is the layer ReqProof is designed to control.
What it is not
ReqProof is not a prettier spreadsheet for requirements. It is not a compliance façade. It is not a blanket claim that every line of code is formally proven. It is a repo-native system for making engineering intent testable, traceable, auditable, and in some cases formally verified.
How teams use it
One product, three modes of work.
The system should not force ceremony on pure exploration. It should become strict when a team starts changing specs, code, tests, or release evidence.
02
Make the work real
Start workflow state when the session becomes an actual change. From that point on, stage checks, trace, audit, and verification can all explain what comes next.
03
Ship evidence, not just code
Audit results, documentation, traceability, fixtures, and release metadata can come out of the same repository state that produced the build.
What the product surface includes
Requirements management is the entry point, not the boundary.
The product matters because it links specification quality, implementation traceability, verification, documentation, workflow discipline, and release distribution into one reviewable system.
A
proof workflow and proof audit
Move from planning to implementation with explicit stage gates, then roll the whole state of the system into one audit output with examples and rerun paths.
workflow
audit
help for failing checks
baseline-aware sessions
B
proof trace and verification
Keep requirements linked to code, tests, and docs. Run solver-backed checks where components are formalized enough to justify them.
trace autolink
suspect review
coverage
solver-backed analysis
C
Release and install surface
The shipped product should be installable and attributable. ReqProof now publishes binaries, embeds version metadata, and updates install channels from the same automation path.
Homebrew tap
downloads.reqproof.com
macOS amd64 / arm64
Linux amd64 / arm64
Contact
If you are trying to make AI-era engineering more controllable, we should talk.
The best conversations usually start with one of three things: spec-driven development, traceable evidence for what shipped, or a workflow that must remain safe when humans and AI agents are both changing the system.