I will audit your codebase for security, architecture and ai readiness
SaaS Research, Product Strategy, Technical Audits
About this Gig
Is your codebase hard to maintain, risky to change, or confusing for AI coding agents?
I provide AI-assisted repository audits with evidence-backed findings and clear next steps.
Depending on the package, I assess:
- Architecture, modularity and technical debt
- Potential security and dependency risks
- Performance, reliability and error handling
- Tests, CI/CD and maintainability
- AI readiness: AGENTS.md, CLAUDE.md, context and guardrails
You receive:
- A PDF report with code references, evidence and priorities
- Recommendations and quick wins
- Standard: prioritized remediation backlog
- Premium: phased roadmap and proposed AI agent context pack
Repo size: Basic up to 50k LOC | Standard 200k | Premium 500k.
AI-assisted mapping and static checks speed up analysis; I verify important findings against source evidence. Reviews are risk-based, not exhaustive line-by-line inspections.
Read-only: no fixes, penetration testing or guaranteed vulnerability detection. Private code requires authorized access and agreed AI data handling. For unusual stacks or complex monorepos, message me before ordering.
My Portfolio
FAQ
What programming languages and frameworks do you support?
My strongest areas are C#/.NET, React, TypeScript/JavaScript, Electron and related web stacks. Other languages may be supported after a scope review. Complex or unusual repositories may require a custom offer.
How do you calculate repository size (LOC)?
LOC includes first-party source and test code. Generated files, external dependencies, minified code and binaries are excluded. Package limits refer to repository size, not exhaustive manual inspection of every line.
Can you review a private repository?
Yes, with authorized read-only access or an agreed archive. Please remove secrets and unnecessary sensitive data. Private code will not be sent to external AI services without your explicit approval of the tools and data handling.
How is AI used in your audit?
AI helps map the codebase, identify patterns and organize findings. I verify important results against source evidence and available tools. AI suggestions are not treated as verified facts, and limitations are clearly stated.
Will you review every line of code?
No. The audit combines repository-wide structural and applicable static checks with risk-based deep dives into priority areas. Findings include code references and supporting evidence where available.
Does this include penetration testing or a security guarantee?
No. Security work is limited to authorized, risk-based static and dependency checks where applicable. This is not penetration testing, formal certification or a guarantee that every vulnerability will be found.
What will I receive?
All packages include a PDF report with evidence-linked findings and priorities. Standard adds a remediation backlog; Premium adds a phased roadmap and proposed AI agent context files. Code fixes and deployment are not included.
What is the AI Agent Context Pack?
Premium includes proposed repository-specific instructions such as AGENTS.md or CLAUDE.md, navigation notes, testing guidance and safety guardrails for AI coding agents. These are editable files, not changes pushed into your repository.
What if my repository exceeds 500k LOC?
Repositories above 500k counted LOC, multiple separate repositories or unusually complex setups require a custom offer. Contact me before ordering so we can agree on scope, access, pricing and delivery time.

