Structured training programs for Claude Code and Microsoft Copilot. Built for engineering managers, CTOs, and team leads who want their developers productive with AI from day one.
Each program is tailored to your tools, your stack, and the way your team actually works.
Hands-on workshops and structured learning paths for engineering teams moving to AI-assisted development. Live sessions, not slide decks.
A turn-key AI onboarding track for new hires. Every developer joins already knowing how to use your AI tools effectively — no ramp-up lag.
Find out exactly where your team is losing time and what AI adoption is actually delivering. Numbers, not guesses.
A straightforward engagement process designed to fit around your team's existing work — not disrupt it.
We learn your stack, your tools, your team's current AI maturity, and what "success" looks like for you. Takes 30 minutes.
We build a curriculum scoped to your team size, tools in use, and target outcomes. Delivered as a proposal within 3 business days.
Live workshops, onboarding modules, or assessment sprints — delivered on your schedule. Remote or on-site.
We report on adoption metrics, gather team feedback, and refine based on what's working. Ongoing support available.
Most AI training is generic. We specialize in the tools your developers are actually using — Claude Code and Microsoft Copilot — and we build training around how real engineering teams work.
Deep expertise in Claude Code and Microsoft Copilot — not a one-size-fits-all AI overview course.
Training uses your repositories, your workflows, and your team's actual coding patterns. Not made-up examples.
We define success metrics before we start and track them throughout. You get a clear picture of ROI.
Claude Code and Copilot evolve fast. Our curriculum gets updated as the tools do — so your team is always current.
Practical skills, not theory. Everything maps directly to your team's day-to-day development work.
How to use Claude Code as a full development partner — writing features, debugging complex issues, refactoring legacy code, and navigating large codebases.
Getting the most out of Copilot completions, slash commands, and chat. Understanding when to trust suggestions and when to push back.
Writing prompts that get precise, reliable results. Structuring context effectively. Iterating toward correct output without wasted cycles.
How to integrate AI into PR reviews, catch regressions, and use AI-generated explanations to improve code quality across the team.
Data handling, IP considerations, what should and shouldn't go into a prompt. Keeping your codebase secure while using AI tools confidently.
For engineering managers and tech leads — how to evaluate AI output, set team standards, measure productivity gains, and make the case to leadership.
Tell us about your team and we'll put together a training plan. No commitment required — just a 30-minute conversation.
Schedule a Discovery Call →