Validation, approvals and evidence
How scoped requirements, automated checks and human decisions make coding-agent work inspectable.
Governance for coding-agent work is the set of rules and records that determine what an agent may do, what must be verified, who can approve exceptions, and what evidence accompanies delivery. It should make autonomy reviewable without turning every action into a manual gate.
What validation, approvals and evidence must cover
The goal is not maximum approval volume. It is clear authority at the moments where judgment matters, backed by automated checks and a durable record that connects the original requirement to the delivered change.
Scoped requirements
State what the change must accomplish, what it must not touch and how acceptance will be determined.
Policy-driven checks
Apply repository-specific tests, security scans and quality thresholds consistently before handoff.
Meaningful approvals
Ask for human judgment at scope, exception and delivery boundaries instead of interrupting every routine action.
Durable evidence
Keep the diff, check output, decisions and exceptions connected to the task they support.
From objective to an inspectable result
The exact tools can vary. The lifecycle still needs explicit state, boundaries, evidence and ownership at each transition.
- 01Set acceptance policy
Translate the requirement into required checks, protected areas and approval responsibilities.
- 02Observe the run
Record attempts, tool outcomes and exceptions without relying on a summary written by the agent itself.
- 03Verify the result
Collect automated evidence and expose failures, skipped checks and unresolved assumptions.
- 04Make an attributable decision
Record who approved, rejected or accepted an exception, along with the evidence available at that moment.
Questions to test with real repository work
A useful evaluation exposes operating behavior and tradeoffs. It does not stop at a successful demonstration.
Policy coverage
Can controls vary by repository, task risk, environment and delivery action without becoming impossible to operate?
Evidence integrity
Is the record generated from actual system events and check results rather than only an agent-authored narrative?
Exception handling
Are failed or skipped controls visible, attributable and subject to an explicit decision?
Review ergonomics
Can reviewers understand scope, changes, validation and open risks without reconstructing an entire transcript?
Understanding validation, approvals and evidence
Where should humans approve coding-agent work?
Useful gates commonly include scope agreement, destructive or privileged actions, policy exceptions and final delivery. Routine reversible actions are usually better governed by policy and recorded evidence.
Is an agent transcript sufficient audit evidence?
A transcript provides context, but it should be paired with system-generated facts such as revisions, diffs, commands, check results, tool outcomes and named approval decisions.
How can governance avoid slowing every run?
Automate repeatable controls, classify work by risk and reserve human approval for decisions that require judgment. Measure both exception rates and reviewer effort during evaluation.
What should a pull-request handoff include?
At minimum: the requirement, implementation summary, diff, validation results, unresolved assumptions, policy exceptions and the identity of any approving reviewer.
Move from the concept to inspectable evidence
Use the product artifacts and evaluation material below to test the model against your own repositories and controls.
Evaluate validation, approvals and evidence on your own workflow
Start with explicit success criteria, representative repository work and evidence your reviewers can inspect.