Codebase audit playbooks for high-risk engineering decisions
These are practical operating guides for the moments where an unknown codebase turns into business risk: repo takeovers, AI-generated code validation, diligence, modernization, and audit-to-issue execution.
Freelancers, boutique agencies, and rescue-project leads
Inherited codebase takeover playbook
A step-by-step playbook for taking over an inherited codebase before quoting, refactoring, or accepting maintenance risk.
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AI app builders, solo developers, and engineering managers
AI-generated code validation playbook
A practical validation loop for teams using AI coding tools without losing architecture, security, and maintainability control.
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Engineering managers, founders, and consultants
Technical debt prioritization playbook
How to rank technical debt by impact, likelihood, effort, and roadmap pressure so cleanup competes fairly with feature work.
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Founders, fractional CTOs, investors, and diligence consultants
Software due diligence repo review playbook
A repo-level due diligence playbook for evaluating architecture, delivery, security, dependencies, and maintainability before a deal or major decision.
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Agencies, freelancers, and engineering teams using GitHub
GitHub issue roadmap from a codebase audit playbook
How to turn codebase audit findings into GitHub issues, milestones, project fields, and small fix PRs.
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Modernization consultants, CTO advisors, and agency delivery leads
Legacy modernization risk assessment playbook
A modernization assessment playbook for deciding what to refactor, wrap, test, migrate, or leave alone in an older codebase.
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Prepared by CodeTruss — the deterministic first-pass gate for AI-written code.
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