AI Training for Engineering Teams

Train your team to ship with AI.

NextThing Consulting helps organizations implement agentic development solutions through training and self-paced labs. Learn real workflows. Build confidence.

Core Competencies
  • Agentic AI system design & orchestration
  • Enterprise Claude adoption & integration
  • Platform engineering & cloud infrastructure
  • Engineering team AI enablement & training
  • AI workflow automation for software teams

From workshop to
working system

Programs built around how engineers actually learn: structured curriculum, hands-on labs, and frameworks your team can apply the next morning.

01

Instructor-Led Training

Structured sessions covering agentic development fundamentals, prompt engineering discipline, and AI-assisted workflows. Built for teams of 5 to 50, remote or on-site. Includes prompt templates and checklists for every workflow covered.

02

Self-Paced Labs

Hands-on lab environments with guided exercises grounded in real platform engineering scenarios: code analysis, test writing, PR review, and infrastructure debugging. Skills transfer because the context is real.

03

Team Enablement Programs

Multi-week cohort programs combining instruction, practice, and peer review. Designed to shift the baseline of an entire engineering organization, not just the early adopters.

04

Curriculum & Playbook Design

Internal training materials, AI code review checklists, tool setup guides, and playbooks your team can own and maintain. Capability transfer, not recurring dependency.

Speed and retention aren't a tradeoff.

How engineers engage with AI determines whether they get faster and more capable, or just faster and more fragile.

A 2026 Anthropic randomized controlled trial found that AI-assisted developers scored 17% lower on comprehension on average. But the outcome depended entirely on how developers engaged with AI tools. The highest-retention group was also the second-fastest overall.

Shen & Tamkin, Anthropic — January 2026
01

Ground everything in research

Our curriculum is built on empirical findings about how engineers learn with AI. We know which interaction patterns preserve skill development and which quietly erode it -- and we teach the difference explicitly.

02

Teach engineers to recognize the mode they're in

Execution mode -- familiar territory -- is safe to accelerate. Learning mode -- new libraries, new services, unfamiliar patterns -- requires a different approach. Senior engineers are especially prone to this transition happening invisibly. Our training makes it visible.

03

High-retention patterns are also fast

Asking AI conceptual questions and writing code yourself achieved the highest comprehension scores at near-delegation speed. We structure labs around these patterns so engineers experience the tradeoff directly, not just hear about it.

04

Leave the team more capable than before

Engagements end with prompt templates, review checklists, tool setup guides, and lab environments delivered as yours to keep. We measure success by what your team can do after we're gone.

Experience on both sides of the problem.

NextThing Consulting brings over 20 years of engineering and leadership experience to our agentic development training.

Spanning roles from Staff Engineer to Principal Architect, EM to CIO, we have shipped production-grade products using agentic development workflows. And we understand what teams need to successfully adopt new practices.

Our primary focus is giving engineering teams the skills and confidence to use AI-assisted workflows effectively -- without the hype.

AWS Claude / Anthropic API Agentic AI Java / Python Platform Engineering Observability Engineering Leadership Curriculum Design

Let's talk about your goals.

Tell us where you are and what you're trying to accomplish.

Prefer email? [email protected]