Most companies that buy AI coding tools capture a fraction of the value they paid for. The CodieDev Bootcamp is the single, in-person day that closes the gap, turning a team of license-holders into engineers who write the majority of their daily code with AI, and giving leadership the visibility to prove it.
Multi-day cohorts available for larger teams.
What most teams actually capture from their AI tools. The CodieDev bootcamp + platform system aims for 100% adoption.1
The penalty teams pay when they roll out AI coding tools without structured training.
What organizations achieve when they treat AI coding as a process challenge, not a tooling challenge.
The pattern across every credible study is the same: tools alone deliver a fraction of the value. Structured training is the multiplier. The bootcamp is that multiplier, delivered in a single day.
The bootcamp moves each engineer from ~15% to ~40% productivity gain, a delta of roughly $50,000 per engineer, per year, at a $200K fully-loaded cost.1
It compounds every year the team keeps using what they learned. A one-day bootcamp pays for itself in a matter of days. Everything after that is pure return.
A presentation on the latest developments, the patterns that are actually working at companies shipping with Claude Code, and the misconceptions worth letting go of. We address the fears engineers bring into the room: their craft, their judgment, their jobs. Directly and honestly.
Every engineer installs Claude Code and the CodieDev CLI. We get every laptop talking to the platform, every account configured, every keybinding sane. Nobody leaves the morning blocked on setup.
Engineers bring an actual ticket from their backlog and work it with AI, with us in the room. We pair, we coach. We show how to use plan mode to research thoroughly and weigh multiple approaches before a single line is written. We answer the questions that only come up when the work is real.
How to write tickets the AI can actually execute on. How to push reverse tickets back to the platform after a session so the work is captured. How to publish skills and specs. How to use the social layer (questions, threads, shared learnings) so the team levels up together rather than each engineer rediscovering the same lessons in isolation.
A judged, competitive hackathon to close the day. Engineers build something that helps them in their job or moves the company forward. It's where everything from the day clicks into place, and it's where teams discover what they're suddenly capable of.
By the end of the day, every participant has the working practice, not just the theory, to delegate the bulk of their day-to-day implementation to AI, with the judgment to know when not to.
We teach engineers to use plan mode to do real research, surface assumptions, weigh multiple approaches, and stress-test designs before committing to code. The result is more accurate work, fewer rewrites, and stronger architecture.
CodieDev's social and artifact features turn individual breakthroughs into team-wide gains. Skills, specs, and patterns get published, refined, and engineers ask each other questions in the open. Knowledge compounds, and that is how the ROI line bends upward instead of staying flat.
Tickets in, reverse tickets out, artifacts published, sessions logged. Leadership ends up with a clearer picture of what's being built and how than they had in the pre-AI era. Exactly the answer to the boardroom question of “what is the AI actually doing for us?”
A team that has been through the bootcamp doesn't just use AI. They have a shared vocabulary, a shared workflow, and a shared place to keep getting better. That is the difference between a tool you bought and a capability you own.The CodieDev thesis
Multiple days available for larger teams or deeper enablement.
Small enough that we work one-on-one with every participant during the hands-on portions.
Roughly a third presentation, two-thirds engineers writing real code with us in the room.
Each engineer brings an actual backlog item to work on. We bring the rest.
Claude Code and CodieDev CLI configured and connected. No “I'll set it up next week.”
Closed by AI under coaching. Proof of concept that lives in the actual codebase.
Plan mode, reverse tickets, skills, specs. The language that turns AI work into a coordinated practice.
Skills, specs, and questions already populated by the team during the day. Ready to grow.
Something built in hours that would have taken weeks. Often something the company actually keeps using.
Leadership can see what's being built, how it's progressing, and where AI is generating leverage, from day one.
The bootcamp is the highest-leverage investment in your AI coding stack. It is the difference between a team that holds licenses and a team that has actually become an AI-native engineering org with the productivity, the quality, and the executive visibility to prove it.
1Productivity figures reference DX's 2025 AI Measurement Framework, Google's 2025 DORA Report, and Faros AI's telemetry across 100,000+ developers and 1,255 teams. The $50K/engineer/year delta assumes a $200K fully-loaded engineer cost and the difference between typical untrained (~15%) and trained (~40%) productivity gains as measured by DORA delivery metrics and PR throughput. We recommend instrumenting your team using these same frameworks so the bootcamp's impact is measured in your numbers, not ours.