Architecture & maintainability
Structure, coupling, duplicated logic, boundaries and whether another developer can safely continue the work.
Senior human review for AI-built software
Your AI-built app works. Is it ready for real users?
I inspect applications built with Cursor, Claude, Codex, Lovable, Bolt, Replit and similar tools, explain what is solid or fragile, and fix the problems that matter before launch, investment or developer handoff.
Independent senior review
No automatic rewrite recommendation
Roadmap yours to keep
75+projects delivered
10+years building production software
1senior developer from audit to fixes
Fast progress can hide expensive problems
AI can generate features. It cannot own the consequences.
AI-assisted development is excellent for proving an idea quickly. The difficulty starts when generated code becomes a real product with users, permissions, payments, integrations and data that cannot simply be regenerated.
I do not judge how the application was built or recommend a rewrite by default. I establish what you actually have, preserve the useful work and identify the smallest safe path forward.
Common warning signs
- Duplicated or contradictory business logic
- Missing validation and weak error handling
- Unclear authentication and data-access boundaries
- Secrets, dependencies or configuration handled carelessly
- No reliable tests, deployment process or rollback path
- A structure that becomes harder to change with every prompt
What I inspect
A production-readiness review, not a lint report.
The review combines automated checks with manual engineering judgment. Findings include evidence, business impact and a practical next action—not a generic scanner export.
Authentication & data flow
Roles, permissions, API boundaries, database access and the paths sensitive information takes through the system.
Reliability & testing
Failure handling, critical user journeys, regression coverage and whether important behavior can be verified.
Dependencies & configuration
Packages, secrets, environment assumptions, generated configuration and avoidable supply-chain exposure.
Performance & scalability
Queries, API usage, rendering, background work and the first constraints likely to appear under real usage.
Deployment readiness
Build reproducibility, environments, logging, backups, rollback and the operational gaps between a demo and a service.
What you receive
Evidence, priorities and a path forward.
You should leave the audit knowing what to trust, what to fix and what can wait.
- Plain-language executive summary with an honest ship, stabilise or rethink recommendation
- Prioritised findings grouped by severity, effort and business impact
- File-level evidence and reproducible examples where practical
- A remediation roadmap another developer can use even if you do not hire me
- Optional fixed-scope proposal for the highest-priority repairs
CriticalData access boundaryFix before production
HighAuthentication flowResolve in stabilisation sprint
MediumDuplicated business logicRefactor before the next feature
SolidDeployment foundationKeep and document
How it works
Clarity first. Repairs second.
Fit check
You share the repository, current state and what the application needs to do. I confirm whether an audit is the right next step.
Run & inspect
I reproduce the application, trace critical journeys and review the code, configuration, data boundaries and deployment setup.
Explain & prioritise
You receive findings in practical language, a risk-ranked roadmap and a call to walk through the important decisions.
Fix what matters
If useful, I stabilise the highest-risk areas in an agreed sprint while preserving working product behavior.
Ways to work together
Start small. Continue only if it makes sense.
The audit is a useful standalone deliverable. Cleanup and ongoing development are separate decisions.
Codebase Audit
Find out what the AI actually built and what should happen next.
- Production-readiness assessment
- Written findings and evidence
- Prioritised remediation roadmap
- Review call and direct answers
Stabilisation Sprint
Repair the issues that create the most risk without blindly rebuilding everything.
- Fixed scope based on findings
- Critical fixes first
- Tests around repaired behavior
- Clean commits and documentation
Ongoing Engineering
Continue building on a foundation that is understandable and ready to evolve.
- Feature development
- Architecture guidance
- Performance improvements
- Maintenance and technical ownership
Tool-agnostic review
The tool is context, not an excuse.
CursorClaude CodeCodexGitHub CopilotLovableBoltReplitv0Base44Custom LLM workflows
Questions before sharing a repository
What the audit is—and what it is not.
Access is kept narrow, recommendations are evidence-based and the output remains useful whether or not we continue together.
No. The service also fits conventional projects that have accumulated substantial AI-generated changes, inherited codebases and products where nobody is confident about the current foundation.
Only if the evidence genuinely supports it. The default goal is to preserve working product value, isolate risk and make targeted improvements in the right order.
No. I review common application-security risks, authentication, permissions, data handling, secrets and dependencies as part of production readiness. If formal penetration testing or certification is required, I will say so clearly and recommend specialist testing.
Yes. The audit stands on its own, and you can use the roadmap with any developer. If we are a good fit, I can quote a focused stabilisation sprint for the agreed priorities.
No. The summary explains risk and decisions in business language, with technical evidence underneath for your current or future developers.
Usually read access to the repository plus enough configuration to run a safe local or staging version. Production credentials are rarely required and should never be shared casually.
You do not need another confident AI answer
Get an experienced human view of what you actually built.
Share the repository, the current concern and what needs to happen next. I will tell you honestly whether an audit is useful.