# HiVE Shift: an AI Training Bootcamp ## Transform your dev team into an `AI-first delivery organization` in 3 months A flipped-classroom transformation: our bootcamp-style curriculum for learning, clinics for real shipping. ## The HiVE _Shift_ Stop experimenting. Start compounding. From the team that created [DevSwarm](https://devswarm.ai/). This is a blended transformation: our HiveShift curriculum delivers the learning layer, and live labs operationalize it on your real codebase. You’re paying for compression – months of trial-and-error installed as durable team workflows. Artificial intelligence is changing the world at an incredible speed. [book a call](/content/service-offerings/ai-coding-training#book-a-call/index.html) ### Live Clinics Weekly sessions focused on your real repo, real PRs, and real constraints ### Curriculum A structured 12-week progression (not random tips) to switch to AI-first mentality ### Support In the trenches support with async Q&A + unblockers so work keeps shipping ### Swarm Labs Longer working sessions to practice Hive Coding on your backlog **Bonus:** DevSwarm Enterprise access for your team during the engagement. ### _2026 is the `Pivot Point`_ - AI-first engineering is now a team capability, not a tool toggle – teams that operationalize it will compound delivery speed. - Best practices are evolving monthly; what worked 6 months ago can now create rework, review bottlenecks, or security risk. - The winner isn’t the team that “uses AI,” it’s the team with a repeatable operating system that keeps quality high while shipping faster. 2026 When AI-first engineering becomes a must-have. Teams that operationalize the skill will compound speed. Teams that don’t will fall behind. ### Why Hive Coding [Hive Coding](https://devswarm.ai/blog/high-velocity-engineering-hive-coding-vs-vibe-coding) is how serious teams ship fast with AI without lowering standards. ### Hive Coding Definition Hive Coding is for production systems that must be correct, secure, and maintainable where **the code still matters**. **Key Attributes:** - Coder in the loop - Humans own decisions - Reviewable diffs - Merge with confidence - Reproducibility - Traceable, repeatable runs - Velocity with correctness ## A structured program that turns AI into a repeatable team capability HiveShift handles the learning layer, while live clinics and labs operationalize it on real delivery work. ### Weekly Clinics & Training 1 adoption/process review and 1 hands-on training + working clinic on your real tickets and PRs, pairing as needed. ### Swarm Labs Run end-to-end swarms on meaningful slices of real work to build durable muscle memory. ### HiveShift Curriculum A continuously updated 12-week curriculum with prompt library, security checklists, tool comparisons, and DevSwarm guides. ### Playbooks & Templates Proven patterns for PR review, automated QA, prompt design, and swarm workflows - ready to drop into your repo. ### Dedicated Async Support Dedicated Slack support with stack-aware Q&A and a clear escalation path for fast, high-signal unblockers. ### Embedded in Your Sprints Designed to run inside your existing workflows and repo, with visible productivity gains expected by midpoint. ### Included **DevSwarm Enterprise** access during the engagement Your team gets hands-on access to DevSwarm Enterprise while we train and implement the methodology. We use it to demonstrate repeatable workflows, pattern sharing, and parallel branch-isolated delivery that stays reviewable. If you keep DevSwarm afterward, you keep the workflow layer; if you don’t, you still keep the playbook, templates, and operating system. ## Program Overview ### Weeks 1-2 **Phase One: Baseline and Standards** Identify your **current baseline** for AI usage and quality bottlenecks. Establish “No-slop guardrails.” What is allowed, what is not? Define team standards with “Definition of Done” for AI-assisted work, PR size norms + review rules. ### Weeks 3-6 **Phase Two: Core Hive Workflows** - Prompting patterns that produce reviewable diffs. - Compare approaches in parallel exploration with branch isolation. - Automated PR hygiene: templates, checklists, reviewer expectations. - Build your shared “**Prompt & Pattern Library**.” ### Weeks 7-12 **Phase Three: Operationalize** - Automated QA practices to keep humans confident. - AI-assisted PR review that improves quality. - Onboarding kit so new devs join the system quickly. - Metrics and cadence so gains persist after the engagement. ## Who is This For? ### Built for teams that want `real velocity` - not AI slop ### Best Fit: - 3–15 developers shipping production software. - Teams that want faster delivery without accumulating vibe debt. - Leaders who want measurable, durable workflow change. ### Not a Fit: - Teams seeking a one-off training talk. - Teams unwilling to change PR/review/testing norms. - Anyone optimizing for demos over durability. ## Why Twenty Ideas? We don’t teach theory. We teach what we ship. We’re not generic trainers. You’re paying for compression: we shortcut months of experimentation and inconsistency by installing a proven AI-first workflow – plus the tooling patterns behind DevSwarm that make it durable. ### Proven Track Record **DevSwarm by Twenty Ideas** Built with DevSwarm; beta shipped in 5 months while maintaining production-quality practices. **Q: Is this just "AI training"?** No, training is part of it, but the outcome is a changed delivery system: workflows, PR norms, automated QA practices, and reusable team assets. **Q: How do you prevent AI slop and “vibe debt”?** We keep humans in the loop and standardize small, reviewable diffs with verification requirements (tests, review rubrics, and guardrails). **Q: Will this slow us down short-term?** Minimal disruption by design. We work inside your sprint cadence and apply changes to real backlog items so gains compound while you keep shipping. **Q: What tools do you support?** We’re tool-agnostic; we’ll align assistants and workflows to your stack, security posture, and team norms. **Q: Do we have to use DevSwarm?** No – DevSwarm is included to accelerate learning and demonstrate best practices, but the playbook and workflows apply even if you don’t continue with it. **Q: What does our team need to commit each week?** Typically two live sessions plus lightweight adoption during normal PR work; this is designed for busy teams. **Q: What do we walk away with after 3 months?** A documented team playbook, shared prompt/pattern library, updated PR and QA workflows, and an operating cadence that continues improving as tools evolve. Start 2026 with a `durable delivery advantage`. If competitors ship faster this year, they learn faster – and the gap widens. Let’s install an AI-first operating system so your team compounds speed without lowering standards. Book a call to see how we can help you optimize your teams with the right tools, workflows, and training.