How do you use CodeRabbit for code review and quality?

CodeRabbit reviews every pull request automatically — catching bugs, security issues and smells — as a gate alongside human review and a real test suite, so nothing weak reaches main.

How do you use CodeRabbit for code review and quality?

CodeRabbit reviews every pull request automatically — catching bugs, security issues and smells — as a gate alongside human review and a real test suite, so nothing weak reaches main.

AI consulting & engineering

AI code review with CodeRabbit

Q: How do you actually implement AI in a business?

I find where AI creates real value, design the architecture, and build it end-to-end — running systems, not slideware.

Q: Can you build AI into a healthcare product?

Yes — I have architected clinical decision support, AI meal analysis and LLM health assistants on a custom model + vector database, with the privacy and reliability healthcare demands.

Q: Can you build a production mobile app in React Native?

Yes — I ship native iOS and Android apps from one Expo/React Native codebase, with payments, provisioning, offline-first flows and clean native integrations.

Q: How do you scale a Node.js backend?

With the right architecture: services split by load, event streaming, queues and caching, observability, and databases chosen per workload — proven on a platform that grew to 3M+ users.

Q: Can you build an MVP and then scale it?

Yes — I build MVPs end-to-end fast, then evolve the same codebase to production scale instead of throwing it away. Several of mine grew to acquisition or millions of users.

Q: How do you build a project with agentic AI development?

I drive AI coding agents (Claude Code, Codex, Cursor) with custom rules, hooks and context, spec-first — then gate everything with tests and AI review so speed never costs quality.

Q: Can you build a custom AI model for my product?

Yes — self-hosted models on Ollama (Llama, Mistral, DeepSeek), fine-tuned or RAG-grounded, when you need privacy, control or a task an off-the-shelf API can’t do well.

Q: How do you build a RAG system?

Chunk and embed your data into a vector database, retrieve and rerank the right context per query, ground the model in it, and evaluate — so answers are accurate and cite your sources, not hallucinations.

Q: Which AI model should you use — Claude, GPT, Gemini, Perplexity or Grok?

It depends on the task — and the real answer is usually more than one. I pick and route across frontier models by strength, with evals and fallbacks, so you get the best result without lock-in.

Human review is scarce and inconsistent; a good AI reviewer is neither. I use CodeRabbit as an always-on first pass on every pull request, so the humans spend their attention on design and the machine catches what humans skim past.

A tireless first pass on every PR

CodeRabbit reads each pull request in context and flags likely bugs, security issues, edge cases and inconsistencies before a human opens it. On a team shipping weekly, that turns review from a bottleneck into a fast, consistent gate — the reviewer starts from a summary and a list of concerns, not a blank diff.

One layer of several, not a replacement

AI review is one gate, not the only one. I pair it with type-safety (TypeScript, Zod), a real test suite (Jest, Vitest, Playwright, Appium/WebDriver.io for mobile) and human review of the design. Each catches what the others miss; together they keep main releasable.

Wired into CI so it is never optional

The value only lands if it runs every time. I wire CodeRabbit and the test suite into CI/CD (GitHub Actions) so review and tests are a required check on the way to merge — quality becomes the default, not a good intention.

Key points

Automated AI review on every PR — bugs, security and smells caught early.
Complements, not replaces, human review + a real test suite.
Enforced in CI/CD so it is never skipped under deadline.

Tools I reach for

TypeScriptZodJestVitestPlaywrightAppiumWebDriver.io

Have something like this in mind?

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AI code review with CodeRabbit

A tireless first pass on every PR

One layer of several, not a replacement

Wired into CI so it is never optional

Related work

Have something like this in mind?

More questions I'm asked