Training that starts from your codebase.
We start from what your team gets wrong today and build the cohort around it. Labs run on a copy of your own codebase, not a toy project.
Five tracks, built around your stack
AI workflows for engineers
Coding assistants, agents and evaluation sets. How to let a model draft, keep review honest, and know whether the last prompt change made things better or only different.
For engineers and tech leads
AI for non-technical teams
Operations, finance, marketing and management. Where the tools save a day a week, where they quietly make things up, and how to check before it reaches a customer.
For operations, finance, marketing and managers
Cyber security
Secure by habit, not by audit. Auth, secrets, injection, dependency risk and the mistakes that fill real incident reports, practised on a copy of your own app.
For backend, frontend and DevOps engineers
Backend and distributed systems
Data modelling, transactions, queues, idempotency and what to do when the payment gateway times out mid-request. Built around the failures your system has already had.
Go, Node and Python teams
Frontend at scale
Server components, data fetching, design systems and performance budgets. Why the app is slow on a mid-range Android, and how to keep it fast as the team grows.
React, Next.js and TypeScript
What you get, not just what they get
A baseline, before we start
A short assessment tells you where the team actually is. It also tells us what to cut.
Weekly progress
Who is doing the work and who quietly stopped in week two, while you can still do something about it.
Certificates and a wrap-up
Per-person certificates, plus an honest note on what the team still needs.
Tell us what you need
Six fields we always need, then a few that only matter for this kind of work. It takes about two minutes.