AI development for engineers
Agents write code, the engineer owns the result
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- CTOSaaS support platform, iGaming
- 1500+mentoring hours, top-1 on GetMentor
- 10 000people in the Jaiora community
- Podlodkatalk on Spec-Driven Development
Before and after
NowAfter
- AI code is shaky and breaks neighbors
- The agent forgets project context
- Unclear how to review it
- A working agent workflow on real code
- Specs and a harness for your project
- Checks that catch agent mistakes
- Speed without losing quality
Program
- 01Spec-Driven Development
- 02Harness: context, rules, checks
- 03MCP and agent tooling
- 04Reviewing and testing AI code
WorkshopHands-on in your repoSupport
Let’s start with your task
Review my task ↗Telegram · describe your task in two lines