Ship Better Code Faster — Without the Speed vs. Quality Tradeoff
I teach development teams battle-tested AI workflows that generate production-ready code, generate automated tests, and review for bugs, performance, and security issues. Get the competitive edge your competitors already have—without the hype.
AI-Powered Development That Actually Works in Production
The proven framework that eliminates bottlenecks and transforms how your team builds software
Accelerate Feature Delivery
Outsource AI-capable work to AI. Generate production-ready code, create data models, and build API endpoints in minutes instead of hours. Your engineers spend time on business logic and what matters to customers—not repetitive coding tasks.
Automate Test Coverage
Generate comprehensive test suites in minutes, not hours. Achieve 80%+ coverage consistently without the time investment. Tests don't get skipped under roadmap pressure when they're this fast to create.
Get Instant, In-Depth Code Reviews
AI reviews analyze your code in seconds—checking guidelines, performance issues, security vulnerabilities, and potential bugs. Get feedback in minutes instead of waiting days. Quality gates happen instantly, not when reviewers have time.
Scale Your Team Efficiently
New engineers deliver their first feature in days, not weeks. AI agents answer questions instantly—senior developers stay focused on their work. Code reviews happen instantly without bottlenecking senior developers. Adding team members increases velocity instead of creating coordination overhead.
What Can Your Team Achieve with AI?
From generating production-ready code to comprehensive test suites and in-depth reviews—here's what becomes possible when you integrate AI into your development workflow.
Build API endpoints, implement business logic, create jobs and event handlers—AI handles the structure and boilerplate while your team focuses on the unique business requirements. Almost any repetitive coding task can be automated.
Generate unit tests, API tests, and end-to-end tests in minutes instead of hours. Achieve 85-95% coverage consistently without the time investment that usually makes thorough testing impractical under deadline pressure.
AI reviews validate acceptance criteria from your bug tracking system, identify security vulnerabilities, flag performance issues, enforce coding guidelines, and spot potential bugs—all in seconds, not days.
How It Works: Your 8-12 Week AI Transformation
The exact timeline depends on your team's availability and sprint schedule. Here's how we transform your development process, step by step.
#1 Discovery & Foundation
Understand your unique challenges and identify the highest-impact bottleneck to tackle first. Train your team on AI fundamentals through workshops and demonstrations. Align on the attack plan and equip your team with the foundation to start solving it.
Key Milestone: High-impact target identified + team ready to tackle it.
#2 Solve Your Biggest Bottleneck
Intensive training on your priority target through workshops, live demos, and practical examples. Your team implements the workflow on real features while I answer questions and help navigate challenges that arise.
Key Milestone: Team independently uses AI for the priority target with a proven, repeatable process.
#3 Scale to Second Target
Train your team on the second target using the proven framework. Your team applies AI across both new and legacy code. We document processes and best practices together.
Key Milestone: Team operates confidently with AI across multiple use cases in daily development.
#4 Optimize & Hand Off
Review real usage patterns and conduct final retrospective. Deliver comprehensive documentation and create a roadmap for continued improvement—including strategies for tackling legacy code and expanding coverage.
Key Milestone: Self-sufficient team with clear roadmap for independent improvement.
Program Overview
About Me
While other consultants sell theory, I'm implementing these AI development practices in my company every day.
AI Implementation
Helping multiple companies establish AI workflows that work in production
Delivery Excellence
Advising teams on Continuous Delivery adoption to improve software delivery processes
Battle-Tested Approach
Every workflow I teach is one I use daily in my own company
No-Hype Methodology
Skeptical of trends until proven. I diagnose real bottlenecks before recommending solutions—blind AI adoption makes things worse.
I'm a software engineer who's spent 15 years in various leadership positions, currently serving as CTO at Agewise. I've built teams, scaled organizations, and helped multiple companies adopt better development practices. The AI workflows I teach? I've implemented them in real production environments and seen them work at scale.
Ready to Transform Your Development Process?
Let's discuss your team's biggest bottlenecks and create a plan to solve them with battle-tested AI workflows.