saascode

Authorline

A repository-linked provenance ledger separating captured tool events, human edits, attribution assertions, integrity receipts, reviewer findings and approved evidence exports.

Genesis score6.54/10
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The case

Teams using several coding agents may be unable to reconstruct which system proposed a change, which human altered it and what review occurred before release. The supplied research reports emerging audit and oversight obligations, a mature public transparency-log capability, and no reviewed direct product producing per-hunk multi-agent provenance exports. The cited legal regimes have specific scopes and do not automatically require this product or make its records compliant. Applicability must be determined from current primary authority and qualified counsel.

Authorline would preserve repository, revision, parent revision, file and hunk locator, captured agent identity assertion, model identity assertion, model-version assertion, session reference, prompt reference or redacted digest, generated patch, human edit, merge event, reviewer identity, review finding, exception, signing key identity, signature, timestamp source, transparency-log receipt, verification result, export request, approved export, recipient acknowledgment, correction, revocation and retention state as distinct records.

A tool-provided identity can be wrong or absent. A hunk may combine model output, generated code, copied material and human edits. Rebases and conflict resolution break simple lineage. A valid signature supports integrity and signer attribution only; it does not prove who authored a line, that a prompt was lawful to retain, that review was meaningful, that code is safe or that a legal obligation was satisfied. Raw prompts may contain secrets, personal data and licensed material, so the default evidence should be minimized and access-controlled.

The pilot should use synthetic repositories and simulated agent events, key rotation, history rewrites and disputed attribution. The likely buyer is an engineering-governance, security or compliance-operations owner in an organization with material agent-assisted development, but applicable obligations, repository count, evidence expectations, privacy constraints, integration feasibility, budget and demand beyond the bounded search remain unverified.

Who pays — and why

An engineering-governance, security or compliance-operations owner responsible for reviewable evidence about agent-assisted software changes.

What it unlocks
A revision-bound event model separating agent identity assertions, generated patches, human edits, merges, reviews and exceptions
An integrity layer separating signing identity, signature, timestamp, transparency-log receipt, verification result, correction and revocation
A counsel-scoped export workflow separating evidence request, approved fields, recipient delivery, acknowledgment, retention and later correction
How Genesis scored it
6.54across seven criteria
tension 7temporal 7blindspot 5buyer 8leverage 8convergence 5why-not 5
8
Buyer persona

Engineering-governance and compliance owners are identifiable, while applicable scope, repository volume and budget need validation.

8
Asymmetric leverage

Repository integrations and a common event schema can support repeated evidence exports after setup.

5
Why nobody did it

Agent adoption creates a new evidence gap, but the input establishes the product gap more clearly than a durable barrier.

Why it scored well

The input combines a concrete commit-time mechanism, available signed-log infrastructure and current interest in AI oversight and traceability.

What's holding it back

Legal applicability is uncertain, per-hunk authorship is intrinsically ambiguous, prompt capture creates privacy risk, and existing provenance or developer-platform vendors can extend into this area.

Signals detected3 sources crossed
SignalSupplied legal research

SignalSupplied infrastructure research

SignalSupplied competitor search

Direction briefauthorline.md
authorline.md
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