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Agent CI/CD

CI/CD for AI-authored code

AI governanceAgenticSecurity

No single identity can both write code and merge it. Edit agents only propose; branch protection and a separate merge actor decide what ships.

01

Edit agent

proposes; never merges

02

Policy

decides eligibility

03

Merge actor

squash-merge when green

Problem → outcome

FAIL

Problem

AI-authored code is unsafe when the same identity can propose a change and decide that it ships.

PASS

Outcome

No single identity can both write code and merge it. Edit agents only propose. Branch protection and a separate merge actor decide what ships.

The trust boundary

The figures trace the boundary in practice: who may propose a change, what decides its eligibility, and who performs the merge, then the gates a single change passes through on its way in.

01

Edit agent

feature branch + draft change

proposes; never merges

Edit zoneAgents author changes but can only ever open a draft pull request. They hold no merge rights.

02

Policy

checks · branch rules · ownership

decides eligibility

Policy zoneBranch protection, ownership rules, pinned workflows, and edit-time hooks decide eligibility deterministically.

03

Merge actor

automation or human

squash-merge when green

Merge zoneA distinct automation identity (or a human) performs the merge, and only after every check is green.

Observability

Every decision emits a schema-validated telemetry event, so the pipeline’s behavior stays auditable after the fact.

An edit agent can only propose. A policy layer decides what's eligible. A separate actor performs the merge, so no single identity can both write and ship code.

How a change moves through

01Draft change
02Review
03Remediation
04Readiness gate
05Merge gate
06Shipped

A draft change is reviewed, remediated if needed, held at readiness gates until checks settle, then merged only when every gate is green.

Checks

Automated review and remediation run along the way, and every decision emits schema-validated telemetry so the whole thing stays observable.

Every decision emits a schema-validated telemetry event, so the pipeline’s behavior stays auditable after the fact.

  • CI/CDCentral workflow resolution: lint, test, security, and merge bots share one policy surface.
  • AI governanceEdit agents may only propose; eligibility and merge are owned by policy and a different identity.
  • SecurityCredential and merge-path mistakes are assumed; edit agents never hold merge rights.
  • TypeScriptWhere Agent CI/CD surfaces are typed, contract drift fails at build time.
  • Policy as codeEligibility rules for Agent CI/CD live as reviewable policy code, not slide decks.
  • GitHub ActionsWorkflows enforce draft-only edit agents and green-check merge conditions.
  • AgenticAgents open fix PRs; deterministic checks still own merge authority.
  • Platform engineeringSeparation of write vs merge is the paved path other agent workflows inherit.
  • SchemasEvery gate decision emits schema-validated telemetry.
  • MonitoringSchema-validated telemetry makes every gate decision observable.
  • Cursor SDKDispatches Cursor SDK agents for autofix and async cloud runs behind the edit-only trust zone.

Field notes

I built this around separation of authority. Edit agents can only propose. A policy layer (branch protection, CODEOWNERS, pinned workflows) decides what is eligible. A different actor performs the merge. Automated review and remediation run along the way, and every decision emits schema-validated telemetry so the pipeline stays observable. Tightrope draws the same boundary at the contract level: deterministic checks judge, an agent drafts the fix, a human applies it. Orchestration engineering is how that separation becomes a reusable engine instead of a one-repo sermon.

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