AI Development Oversight
Direct help from a developer
Build With AI. Ship With an Engineer.
You have an AI-built website, a new feature, or a pull request ready to go. I review the agreed scope, how those changes fit your system, and what deserves attention before you ship. Keep the speed. Add experienced engineering judgment.
The quote is free. Engineering review starts after scope and cost are agreed.
Start with the decision in front of you
What are you trying to ship?
You can start with a single change. Choose the situation that sounds like yours.
I have code ready to merge.
AI Code Review
A focused review of an existing build or change, with prioritized findings and a practical next step.We're shipping AI changes regularly.
Production Oversight
Recurring engineering review around your team's AI-generated changes and release process.The site looks done. Does it work?
AI Website QA
A practical check of visitor journeys, forms, mobile behavior, search setup, and measurement.The same mistakes keep coming back.
AI Development Guardrails
Validation, tests, and review rules based on the mistakes your project actually needs to catch.A practical review workflow
Keep the speed.
Add review points.
Seven stages connect a generated change to a release decision. Responsibilities and checks fit your existing repository.
Builds and tests provide evidence. An engineer connects that evidence to the requirement and the rest of your system.
- 01
AI builds
You, your developer, or your agent creates the change using the tools you already use.
- 02
Automated checks
Run relevant builds, types, tests, duplicate detection, route checks, and other validation.
- 03
Engineering review
Review the implementation, its dependencies, and the requirement it is meant to satisfy.
- 04
Fix or refactor
Resolve findings and consolidate code when the solution belongs in an existing source or component.
- 05
Approval
Use the agreed pull request, required checks, and review process to make a release decision.
- 06
Deployment
Ship approved work through the project's established deployment process.
- 07
Production verification
Check critical behavior in the live environment and record anything still unresolved.
Beyond the immediate prompt
What else does this change affect?
A working feature can still depend on shared data, existing patterns, and production assumptions. Open an area to see why it matters.
One fact. Three copies.
A service record, setting, or business rule gets copied into a new file instead of using the existing source. Later changes reach only one copy.
Patterns drift between prompts
A new component repeats an existing one. Similar features use different conventions. The next change becomes harder to make safely.
The change has a wider reach
A route edit can also affect redirects, internal links, canonicals, schema, sitemaps, and tracking. A shared component can change pages you never opened.
Local assumptions meet production
Environment variables, permissions, APIs, hosting, caching, and runtime differences can change how working code behaves after deployment.
Important behavior goes unchecked
Authentication, input handling, forms, keyboard access, and focus need deliberate verification alongside the visible feature.
Working code carries extra weight
Repeated requests, larger bundles, unnecessary rendering, and blocking resources can slow a site even when the feature works.
Explore Development Guardrails ↗
Your tools. Your team.
Bring in experience where it helps.
Founders, agencies, business owners, and developers can start with one scoped review. You keep your AI tools and your existing team.
Codex 
Claude Code 
Cursor 
GitHub CopilotJavaScript, React, PHP, WordPress, Shopify/Liquid, APIs, search, measurement, and production behavior.
Explore technical experience ↗What to send first
A short brief is enough.
- What you built and what it should do
- The change or journey you want checked
- Your platform and next deadline
- A public or staging URL, if available
No repository URL required. Keep private code private; access can be arranged after scope is agreed.
Start with a free quote ↓Representative scenarios
From a finding to a better next change.
Illustrative examples of the work, not client case studies or claims about a particular AI tool.
01Duplicate service data
A new record appears in a page file and the shared service list. Review identifies the owner, consolidates references, and adds a uniqueness check.
02A renamed route
The new page loads, but old URLs and metadata still point elsewhere. Review follows the links, redirects, schema, sitemap, and analytics assumptions.
03A second shared component
One requested page change creates another copy of the same UI. Review checks whether extending the existing component would keep behavior consistent.
04A setting in the wrong place
A feature hard-codes a value already owned by global configuration. Review moves it back to the source the rest of the application uses.
A second set of eyes. A clearer next step.
Share the goal and current state. I will confirm fit and propose a scope. The quote is free; hands-on engineering starts after approval.
Before you start
Questions about AI oversight
Find the right starting point without committing to an ongoing engagement.
Do I still need a developer if AI built my website?
AI can get you a long way. An experienced developer can review the parts where a mistake would affect customers, data, search visibility, or future maintenance. You can start with a focused review instead of committing to ongoing support.
Can you review work from Codex, Claude Code, Cursor, or Copilot?
Yes. The review focuses on the code and resulting behavior, regardless of which tool produced it. The project, change, and scope matter more than the model.
Do you need production access?
Not usually to begin. A description, staging site, diff, or repository access may be enough. Access is agreed for the scope and limited to what is needed. Do not send passwords, API keys, or other secrets through the quote form.
Is this only for people who are not developers?
No. Developers and agencies use AI too. I can provide another set of eyes on implementation, architecture, pull requests, and production readiness while working with your existing team.
Can you help prevent repeat mistakes?
Yes. Where it makes sense, findings can become tests, validation rules, CI checks, and review requirements. Guardrail setup is scoped around your project and its actual failure patterns.
Is the initial review free?
The quote is free. Engineering review, diagnostics, testing, fixes, and workflow setup are paid work. We agree the scope and cost before that work begins.
Can this be an ongoing service?
Yes. One-time review, recurring oversight, agency support, and guardrail setup can be scoped separately. Review frequency and responsibilities are agreed before work starts.