Repository Onboarding and Codebase Intelligence
Establish the evidence required before an autonomous workflow may operate on a repository.
A rapid review of the chapter’s existing Quick Read, principles, definitions, lessons, and review material.
The chapter in one pass.
- Purpose: Establish the evidence required before an autonomous workflow may operate on a repository.
- Best for: Platform teams, repository owners, security engineers, and agent engineers.
- Prerequisites: Authoritative Delivery Hierarchy and Development Environments.
- Reading time: 15 minutes.
- You will learn: How to discover repository structure, ownership, instructions, dependencies, tests, data sensitivity, environments, and risk before admission.
- Keep three ideas: registration is not readiness; indexes are derived and expiring; and uncertainty must narrow authority.
Reconstruct and defend this chapter’s architecture.
Reconstruct the architecture, name each boundary, and defend the tradeoffs.
Open the source exercise
Onboard a service with a shared schema repository, a generated client, an undocumented deployment job, and sensitive test data. Mark authoritative sources, derived indexes, owner decisions, blockers, and the first workflow you would safely admit.
3. Enduring Principle
Admit repositories through a readiness process
Onboarding creates a versioned Repository Readiness Record rather than a permanent “connected” flag. The record covers:
| Dimension | Required understanding |
|---|---|
| Identity and ownership | Canonical repository, default branch, accountable owner, code owners, support contacts |
| Instructions | Governing repository instructions, precedence, exceptions, generated-code rules |
| Architecture | Components, boundaries, entry points, data flows, external services, critical invariants |
| Dependencies | Packages, services, schemas, repositories, runtime and release order |
| Build and test | Toolchains, setup, commands, test topology, fixtures, flaky suites, expected duration |
| Delivery | CI, artifacts, environments, deployment, feature flags, migrations, rollback |
| Security and data | Classification, secrets, network needs, licenses, sensitive paths, threat boundaries |
| Factory fit | Eligible workflows, tools, sandboxes, agents, budgets, verification, approval levels |
Separate authoritative declarations from derived intelligence
Owner, data classification, permitted workflows, and release authority require declared sources. Symbols, call graphs, ownership suggestions, test impact, and architecture summaries may be derived. Every derived view records source commit, method, coverage, confidence, and expiry.
Build a codebase intelligence pipeline
Useful indexes include lexical and symbol search, dependency and ownership graphs, build targets, test-to-code mapping, API and schema inventories, historical change hotspots, incidents, architecture decisions, and documentation. Retrieval must preserve source and commit lineage.
Let uncertainty reduce scope
Missing owners, nonreproducible builds, unknown deployment paths, unclassified data, or absent tests should block high-risk autonomous change. The repository may still be eligible for read-only analysis or documentation proposals. Readiness is granular by workflow and risk class.
8. Notes and lessons learned
Repository onboarding is not administrative setup. It is the first assurance case: evidence that the factory understands enough of the target to grant a particular kind of execution authority.
9. Interview and discussion questions
- Which repository facts may be inferred, and which require an owner?
- How should readiness expire?
- What blocks code modification but permits read-only analysis?
- How should conflicting instructions be resolved?
- What changes when one product spans several repositories?
Review this chapter.
Challenge a claim, boundary, missing failure mode, unclear term, or unsupported evidence statement.
- Claim
- Boundary
- Failure
- Evidence