AI Coding Transformation for Engineering Teams
Adopt AI-native development without trading away the quality of your codebase.
I help engineering teams adopt AI-native development safely. I roll out Cursor and Claude Code, train developers, and rebuild the review and CI/CD process around AI-generated code so output stays fast and trustworthy in production.
How I work with your team
Six focused engagements that take a team from curious about AI tooling to shipping AI-assisted code safely.
AI Dev Tooling Rollout
I set up Cursor and Claude Code across your teams with shared rules, prompts, and project context so every developer starts from the same baseline.
Key Features:
- Cursor and Claude Code configuration
- Shared rules, prompts, and context files
- Background and agentic workflows
Guardrails for AI-generated code
AI lets a team ship far more code, far faster. My job is to make sure that speed never costs you reliability. Every engagement leaves behind the review, CI, and evaluation systems that keep AI output safe in production.
PR review for AI-written code
A review process built for larger, faster diffs, combining human checklists with automated review so AI-authored changes still get real scrutiny.
CI/CD restructured for codegen
Pipelines tuned for the volume AI tooling produces, so tests, types, and checks catch regressions before anything reaches main.
Security & quality gates
Merge gates on linting, types, and tests, plus dependency and security checks, so faster output never lowers the bar.
Evals that keep output trustworthy
Evaluation and classification systems for AI-driven features, drawn from evaluating millions of chatbot events at Dashly.
Engineering rigor in my own work
SEO Lens: Browser Extension for SEO Auditing
SEO Lens: Browser Extension for SEO Auditing
Chrome extension that audits SEO metadata on any webpage with instant scoring, structured data validation, and AI-friendly copyable reports.
TypeScriptChrome ExtensionReactEffect-TSWXTTurboreposhadcn/ui
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Recruit AI: Intelligent Recruitment Matching
Recruit AI: Intelligent Recruitment Matching
Two-sided marketplace matching platform with a retrieve-and-rerank pipeline: ANN vector search with pre-filtered hard constraints, followed by multi-factor re-ranking. Built on Effect.ts hexagonal architecture with compile-time dependency guarantees.
Next.jsEffect.tsQdrantVector SearchRetrieve & RerankVercel AI SDKDrizzlePostgreSQLTurborepo
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I ship — every day
3,889
Contributions
505
PRs
53
Week Streak
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Frequently asked questions
Pricing
Flexible options to meet your project needs and budget
Default
For standard projects with flexible timelines
$55/h
- Full-stack development
- AI integration
- We set the deadline
- Regular updates
Priority
For time-sensitive projects with specific deadlines
$75/h
- Expedited development
- Advanced AI solutions
- You set the deadline
- Daily progress updates
Project
Pay per deliverable, tailored specifically to your business goals
Custom
- Fixed pricing per milestone
- Clearly defined deliverables
- Transparent timelines
- Flexible revisions and support
AI Coding Consulting
Expert guidance for AI transformation initiatives
$110/h
- Team training & workshops
- AI development strategy
- Codebase optimization
- Productivity enhancement
Ready to make your team AI-native?
Tell me about your codebase and where your team is with AI tooling. I will map out how to roll it out and keep the output production-safe.
Book a free call