⚡AI in Development
Integrate AI into every phase of development — from planning to deploy.
What you'll learn
- Choose the right AI tools for your stack
- Speed up development with AI-assisted planning and coding
- Automate testing and code review with AI
- Set up AI workflows for your entire team
Who this is for
Developers who want to integrate AI into their daily work. Basic AI tool experience is a plus.
Prerequisites
Syllabus
The AI Developer Tool Landscape
Overview of tools from autocomplete to agentic CLI — when to use which and how to combine them.
AI-Assisted Planning
Use AI for design docs, architecture decisions, task breakdowns, and estimations.
Coding with AI
Beyond autocomplete — function generation, refactoring, learning new languages, and the AI-first approach.
Testing with AI
Generating test suites, finding edge cases, TDD with AI, and strategies for unit, integration, and e2e tests.
AI Code Review
Security review, performance analysis, style consistency, and integrating AI into CI pipelines.
Debugging with AI
From stack trace to fix — error interpretation, log analysis, and root cause analysis with AI.
Documentation with AI
READMEs, API docs, inline comments, changelogs — when to automate and when to hand-write.
Team AI Tooling
CLAUDE.md patterns, shared configs, onboarding new devs, and measuring AI adoption.
We also offer live workshops and custom training for teams.
Learn more about team training