Freelancers, boutique agencies, and rescue-project leads

Inherited codebase takeover playbook

The first takeover mistake is treating the repo like an implementation task before it has been treated like a risk object. This playbook turns the first review into an evidence-backed intake process.

Step 1

Freeze the first estimate

Do not quote fixed cleanup or rewrite work until the repository can be built, mapped, and risk-scored. The first deliverable is discovery.

Confirm repository access, default branch, deploy target, and owner contacts
List frameworks, lockfiles, package managers, and runtime versions
Identify auth, billing, data deletion, permissions, and payment flows
Document unknowns that require credentials or client answers

Step 2

Map the operational surface

A folder tree is not enough. Find the entry points and external edges where a change can break production.

Routes, API handlers, jobs, webhooks, CLIs, and scheduled tasks
Database models, migrations, seed scripts, and backup assumptions
Payment, email, storage, analytics, AI, and GitHub integrations
Manual deploy steps, CI checks, and rollback path

Step 3

Rank risks before improvements

Separate containment work from cleanup. Security, data, deployment, and billing findings change the project shape before refactors matter.

Committed secret signals and required rotations
Known vulnerable dependencies and blocked upgrades
Missing tests around critical product flows
Oversized files, duplicated logic, dead code, and unclear module boundaries

Step 4

Turn discovery into a paid plan

The client should receive a short, concrete artifact: what is risky, what should happen first, and what implementation work is worth buying.

Executive summary with top risks and recommendation
Architecture map and evidence paths
30/60/90-day repair sequence
GitHub issues for accepted work

How to use this playbook

Before the review

Use this playbook to set scope before anyone starts fixing code. For freelancers, boutique agencies, and rescue-project leads, the first win is making the review explicit: what repository is in scope, what decision the work supports, and which access gaps still prevent a confident recommendation.

During the audit

Start with "freeze the first estimate" and keep notes tied to files, routes, jobs, dependencies, or configuration. A useful audit does not say "the repo feels risky"; it shows the evidence path and explains why that evidence changes priority, estimate, or owner confidence.

After the readout

Use "turn discovery into a paid plan" as the handoff point. Findings should become a small plan with owners, acceptance criteria, and a clear split between urgent containment, scheduled cleanup, and risk the team intentionally accepts for now.

What CodeTruss should produce

Run CodeTruss when the manual checklist needs to become repeatable: architecture map, health scores, source-backed findings, shareable report, GitHub issues, and optional fix PRs. The point is to shorten discovery while keeping the final decision evidence-based.

When the playbook is complete

Stop when the next decision is clear. A finished playbook should say whether to proceed, pause, contain risk, create issues, or gather missing access. It should not expand into open-ended cleanup. The output is a narrow, evidence-backed path to action.

What to re-check later

Revisit the playbook after the next scan, release, or cleanup batch. If the same risk appears again, the team needs a process change, not another one-off note.

Evidence to collect

Build, test, lint, and typecheck output when available
Architecture entry-point map and external service list
Evidence paths for each critical or high finding
Issue-ready acceptance criteria for the first cleanup sprint

Mistakes to avoid

Starting with a rewrite recommendation before proving the current system cannot be repaired
Showing the client hundreds of raw findings instead of a prioritized decision memo
Ignoring deploy, environment, and data risks because they are not inside application code
Accepting maintenance responsibility before secrets and access boundaries are understood

Related guides

Sources and standards

Run this playbook on a real repository

CodeTruss builds the architecture map, health scores, ranked findings, report, GitHub issues, and opt-in fix PRs from the repository itself.

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