AI for Developers (1 Day Workshop)
A focused 1-day workshop for software developers who want a practical map of today's model landscape, coding workflows, and tools without getting lost in hype or vendor marketing. The session helps teams choose the right models, structure AI-assisted development work, and improve delivery quality with specs, code reviews, and modern developer tooling.
About This Workshop
A focused 1-day workshop for software developers who want a practical map of today's model landscape, coding workflows, and tools without getting lost in hype or vendor marketing.
The session helps teams choose the right models, structure AI-assisted development work, and improve delivery quality with specs, code reviews, and modern developer tooling.
Full Description
This workshop is designed for developers who need to become productive with AI quickly and responsibly. It begins with an overview of frontier models and their characteristics, then contrasts them with alternative models so participants understand where quality, latency, privacy, and price differ in day-to-day engineering work.
The middle section focuses on workflow. Instead of treating AI as a chat window, we frame it as part of a disciplined development loop: defining intent clearly, breaking work into reviewable steps, using structured specifications, and turning prompts into repeatable engineering assets.
The final part of the day focuses on execution quality. We cover SpecKit, AI-assisted code reviews, and practical tooling with Cursor and CLI-based workflows so teams can move faster while keeping architectural clarity, review discipline, and code quality standards intact.
What You'll Learn
- Compare frontier and alternative models based on quality, context, latency, privacy, and cost trade-offs.
- Select a model and workflow that fit real development tasks instead of defaulting to the most popular vendor.
- Use a structured workflow for AI-assisted software delivery, from specification to implementation and review.
- Apply SpecKit and code review practices to make AI-generated work easier to validate and maintain.
- Use tools such as Cursor and CLI workflows effectively as part of a repeatable developer experience.
Syllabus
Day 1 — Model Selection and AI-Native Developer Workflow
- •Frontier models and their characteristics for developers
- •Alternative models and where they fit
- •AI-assisted development workflow design
- •SpecKit for structured implementation planning
- •Code reviews for AI-generated and AI-assisted changes
- •Tools: Cursor and CLI workflows