AI & Agentic Software Development
Scale AI beyond isolated coding tasks.
The challenge
AI can now generate code faster than most organizations can review, secure and release it. The harder problem is context: requirements, designs, code, tests and incidents often live in separate tools, so AI assistants and agents work without the full picture. Speed without governance simply moves the bottleneck.
How I help
- Frame where AI belongs across planning, coding, testing, release and operations, and where human review must stay in the loop.
- Connect AI assistants and agents to governed engineering context so recommendations are traceable and explainable.
- Set practical guardrails for security, compliance, intellectual property and quality.
- Build a roadmap that moves teams from isolated pilots to scaled, measurable adoption.
The goal: Faster delivery with control, clearer accountability, and the confidence to scale AI beyond pilots.