Month May 2026

An Agent Run Is Not Done When the Model Stops Talking The Problem You prompt an agent. It runs. Tokens stream out. It stops. You read the output. Done. Except you have no idea if it’s done. When you run…

Hey! April brought many good reasons to open your IDE.  Learn about a new DeepLearning.AI collab on spec-driven development, a beginner-friendly full-stack chat app course, a Kotlin certificate you can add to your LinkedIn profile, and fresh research on which…

Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand the LLM a pile of hastily wrapped API endpoints and wonder…

Introduction AI coding agents are getting surprisingly good. In small projects, you can ask them to add features, fix bugs, and even write tests—and they often succeed. But once your project grows, things start to break down. In my experience,…

Disclaimer: This article was created using AI-based writing and communication companions. With its help, the core topics of this rich and nuanced livestream were distilled into a compact blog post format. In our recent JetBrains livestream, Vitaly Bragilevsky was joined…