Dev x AI: Shipping Fearlessly — AI Workflows for Complex Systems
AI can help you code faster. But can it help you ship safer?
Most developers still treat AI as a code generator — not a reasoning partner.
That’s why we keep running into the same pain: mocked test logic, untracked dependencies, and fragile releases that collapse under real load.
This session is about fixing that.
We’ll share AI-powered workflows that help you understand, test, and ship enterprise-grade systems with confidence.
Built for developers who live in the trenches of complex codebases — not hobby projects.
What You’ll Learn
1. Real-World AI Testing Workflows
Learn how to use AI tools (like Claude Code) to build Markdown-based test suites that hit real APIs, databases, and pipeline paths — no more mocked flows or shallow validation.
→ Catch edge cases before they hit production
→ Build and test logic in parallel
→ Automate what matters without losing control
2. Mapping and Taming Legacy Systems
See how to use AI to visualize dependencies — Redis touchpoints, APIs, services — as Markdown graphs and impact maps.
→ Understand blast radius instantly
→ Generate focused QA cases, not test floods
→ Make confident changes in monoliths and microservices alike
Why You Shouldn’t Miss This
If you’ve ever:
Lost sleep over breaking something you didn’t even touch
Wasted hours debugging integration failures AI “missed”
Wanted to trust AI-assisted code in production
This session will change how you build and ship.
You’ll leave with ready-to-use templates, reasoning workflows, and a new level of control over your systems.
No slides. No filler. Just practical AI workflows from developers who’ve shipped at scale.
We’ll start exactly at 9:00 AM and end exactly at 10:00 AM.
Join by 8:45 AM — late joiners will miss critical setup