Agentic SDLC governance
Agentic SDLC governance enforces policy before the agent starts.
Governing AI coding agents is not a code-review step bolted on at the end. It is a preflight: policy, branch protection, budget, model routing, and autonomy level are resolved before a run executes, and autonomy demotes automatically when quality drops.
Boetica leads policy-enforcement and safe-autonomy metrics on the governance benchmark.ScorecardSigned · Jun 2026Signed scorecard: KMS/Sigstore signed and re-verifiable, dated Jun 2026.
Agentic SDLC governance, defined
Agentic SDLC governance is the set of enforced controls that bound AI coding-agent work across the software development lifecycle: a policy DSL evaluated at preflight, branch-protection binding, review queues with SLAs, budget caps, model-routing rules, PR-storm circuit breakers, and automatic autonomy demotion — applied to prompt builds, scheduled work, remediation, and API-created runs alike.
As coding agents move from autocomplete to autonomous PRs, the governance question stops being theoretical. Who allowed this run? Against which branch and which protected paths? Under what budget? At what autonomy level — and what happens when the agent's quality slips? Agentic SDLC governance answers those before execution, not in an incident review afterward.
The model is progressive autonomy with hard floors. A repo earns more autonomy by demonstrating quality, and demotes automatically on rollback spikes, interventions, CI failures, or quality-gate regressions. Human merge is the default until the evidence supports more.
Policy is a preflight, not an afterthought
The same policy gate evaluates every entry point — prompt builds, backlog dispatch, schedules, remediation, foreign-PR babysitting, and API runs — against repo, branch, path, control family, migration risk, spend, and PR volume before any work starts.
- Branch-protection binding and protected-path rules.
- Migration and dependency gates evaluated up front.
- One policy gate across every run entry point.
Budget and model routing are bounded
Spend is estimated before a run and hard-capped during it. Model-routing rules record which provider handled a task under which data terms, so cost and provider posture are governed, not incidental.
- Pre-run cost estimate and hard budget stops.
- Model-routing rules with no-training / no-retention posture.
- Cost reported against accepted PRs and evidence packets.
Autonomy graduates and demotes on evidence
Repos move through measured autonomy levels and demote automatically when rollback, intervention, CI, or quality-gate signals spike. Autonomy is a function of demonstrated quality, with human merge as the floor.
- Progressive per-repo autonomy graduation.
- Automatic demotion on quality regressions.
- PR-storm circuit breaker to stop runaway dispatch.
The proof behind the claims
Every claim on this page resolves to one of these signed artifacts.
Agentic SDLC governance — frequently asked
When are governance controls enforced?
At preflight, before a run executes. Policy, branch protection, budget, model routing, and autonomy level are resolved up front so a non-compliant run is blocked or routed to review rather than caught afterward.
Can an agent's autonomy be reduced automatically?
Yes. Repos demote automatically on rollback spikes, interventions, CI failures, or quality-gate regressions. Autonomy is earned through demonstrated quality, with human merge as the default floor.
Does this cover API-created runs too?
Yes. The same policy gate applies to prompt builds, scheduled work, remediation, foreign-PR babysitting, and Run API automation, so external systems cannot bypass governance.
Related topics
Each guide is linked to its own signed proof.
- Proof-backed pull requestsA proof-backed pull request earns the merge it asks for.A proof-backed PR carries everything a reviewer and an auditor need in one place: the diff, the tests, CI status, the policy decision, control mapping where relevant, and a signature that makes the whole packet re-verifiable.
- Autonomous remediationAutonomous remediation closes findings with proof, not tickets.Autonomous remediation turns a credible finding into a bounded, tested, reviewable pull request with a signed evidence packet — so the finding is closed and provable, not just re-assigned.
- SOC 2 evidence roomsA SOC 2 evidence room replaces the questionnaire with live proof.An evidence room is a scoped, expiring, verifier-backed space where a buyer or auditor reviews the same signed proof Boetica uses internally — hash-backed SOC 2 artifacts, pentest, threat model, and benchmark scorecards — without the workspace itself being exposed.
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