AGENTIC ENGINEERING
Team Workshops — Greenfield & Brownfield
Hands-on workshops for engineering teams on agentic engineering. Grounded in real production experience — from Claude Code setup through greenfield workflow to brownfield acceleration sprints. Every workshop ends with working code shipped.
Key Features
Claude Code Mastery — modes, shortcuts, CLAUDE.md setup, custom commands
Greenfield Workflow — PRD to Task Master to architecture to agents in production
Brownfield Acceleration — codebase analysis, agent configuration, real feature sprint
Multi-Agent Orchestration — parallel build streams with architect/tester/builder agents
How We Work Together
A proven methodology that delivers results
Discovery
We start with understanding your business, challenges, and goals through workshops and interviews.
Design
Together we design the solution architecture and create a detailed implementation plan.
Deliver
Iterative implementation with regular demos and feedback loops to ensure alignment.
Support
Post-launch support, knowledge transfer, and ongoing optimization recommendations.
Use Cases
- Onboarding team to Claude Code and agentic workflow
- Starting a new project with agentic engineering from day one
- Accelerating an existing project with AI agents
- Shipping a real feature during a single workshop sprint
Ideal For
- Engineering teams of 3–8 developers
- Greenfield or brownfield projects with codebase access
- Companies wanting to multiply velocity without growing the team
Not Ideal For
- Teams without access to their own codebase during the workshop
- Those seeking lectures without hands-on implementation
- Projects without a defined problem to solve
Deliverables
Deliverables
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01Configured CLAUDE.md and custom agents for your repository
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02Working code delivered during the workshop (real sprint)
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03Agentic engineering playbook tailored to your tech stack
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0430-day follow-up coaching session
Technology Stack
Timeline
1–5 days (format dependent)
Estimated project duration
Related Case Studies
RAG Document Processing System
At Insly, I led development of a RAG (Retrieval-Augmented Generation) system that gives insurance brokers fast, context-aware answers about policy details. The system combines traditional search with vector embeddings to handle complex queries across 23 different insurance providers.
Challenge
Insurance brokers needed to quickly find relevant information across thousands of policy documents from 23 different insurers, each with unique formats and terminology.
Microservices Migration
CloudAcademy needed to migrate their content authorization service from Kotlin to Go as part of a broader standardization effort. I led this migration while ensuring zero downtime and creating new microservices following DDD patterns.
Challenge
Legacy Kotlin service had performance bottlenecks and was difficult to maintain. Team needed to standardize on Go for better consistency across microservices.
Ready to Transform Your Business?
Let's discuss how I can help you achieve your goals. The first consultation is free.