Bridging the gap between AI tools and real engineering impact
Most teams adopt AI coding tools and see modest productivity gains. But the real opportunity is in agentic development — where AI becomes a true collaborator, not just a faster autocomplete.
With 15 years of software engineering experience and deep expertise in agent-driven workflows, I help teams move beyond basic AI assistance to achieve transformational results.
What I've learned about agentic coding
Context is everything
The more an AI agent knows about your architecture, patterns, and constraints, the less hand-holding it needs. Rich context unlocks true delegation.
Iteration beats perfection
Tight feedback cycles with AI compound quickly. Review early, correct fast, and let the agent learn from each iteration.
Verification closes the loop
Tests, type checks, and build pipelines give AI agents clear signals of success or failure. Automated verification turns coding assistants into autonomous collaborators.