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.
Ai-first delivery

The HiVE Shift

Stop experimenting. Start compounding.
From the team that created DevSwarm. 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.
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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
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Bonus: DevSwarm Enterprise access for your team during the engagement.
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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

Tool adoption is easy.
Reliable velocity is not.

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Vibe Coding:

Vibe coding is good for quick prototyping and fast demos... and forgetting the code exists.
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Get faster in moments
But... results are inconsistent
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PRs get bigger, reviews harder
Then “it works” becomes the standard
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No structure = vibe debt
Fragile code that slows you later
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Optimized for demos
Not production delivery
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HiVE Coding:

HiVe Coding is for production systems that must be correct, secure, and maintainable where the code still matters.
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Coder in the loop
Humans own decisions
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Reviewable diffs
Merge with confidence
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Reproducibility
Traceable, repeatable runs
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Velocity with correctness
Fast now and fast later
Ai-first delivery
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

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Your team gets hands-on access to DevSwarm Enterprise while we train and implement the methodology.
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We use it to demonstrate repeatable workflows, pattern sharing, and parallel branch-isolated delivery that stays reviewable.
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If you keep DevSwarm afterward, you keep the workflow layer; if you don’t, you still keep the playbook, templates, and operating system.

The 3-month Roadmap

HiveShift handles the learning layer, while live clinics and labs operationalize it on real delivery work.
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:
Cose 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
We respect that your team is busy
This program is designed to run alongside existing sprint work. We focus on practical, low-disruption changes that make this week’s work safer and faster – not theoretical exercises.
who is this for?

Built for teams that want real velocity- not AI slop

Best Fit:

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3–15 developers shipping production software
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Teams that want faster delivery without accumulating vibe debt
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Leaders who want measurable, durable workflow change

Not a Fit:

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Teams seeking a one-off training talk
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Teams unwilling to change PR/review/testing norms
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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.
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Creators of DevSwarm

We built DevSwarm by dogfooding Hive Coding practices – so the workflows we teach are the workflows we run.

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Deep tool + workflow fluency

We actively evaluate modern AI coding assistants and emerging patterns (including MCP workflows) so your team isn’t trained on yesterday’s playbook.

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Trusted with serious production platforms

We’ve shipped complex systems across stacks in environments where security, uptime, and correctness matter.

Proven Track Record

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: Does this work for regulated or high-stakes products?
Yes – Hive Coding emphasizes reviewability, reproducibility, and guardrails, which are especially valuable when correctness and compliance matter.
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.