We just launched Verdent, an AI coding agent that actually plans before it codes, tests its own work, and delivers production-ready results without you having to clean up after it.

tl;dr Check out the website [1] and read the story [2]

- The problem: Current AI tools dump code and leave you to debug. You ask for "build a login endpoint" and get a passwordless JWT mess that doesn't fit your project. We've talked to hundreds of engineers who are frustrated with having to micromanage AI output.

- What we built: Verdent works more like a senior engineer. It asks clarifying questions first, breaks down complex tasks, writes the code, then runs its own tests and fixes bugs until everything works. We call it the Plan → Code → Verify loop.

Two ways to use it: VS Code extension for staying close to the code, or Verdent Deck desktop app for handling bigger multi-component tasks in parallel.

- Background: I was Head of Algorithms at TikTok and spent 9 years as Chief Technical Architect at Baidu before this. Building those massive recommendation systems taught us that you need hundreds of specialized models working together, not just wrapping an LLM. We applied the same system engineering approach to AI coding.

- Try it: Available now, paid plans start at $19/month. We're a small team so no free tier, but we'd rather you experience what autonomous coding can actually do than get frustrated with a limited version.

- The bigger picture: We see AI coding as just the start of a larger shift where AI becomes the orchestrator across the entire software lifecycle, not just a typing assistant.

What do you think?

What tasks would you actually trust an AI agent to handle end-to-end?

[1] https://www.verdent.ai/ [2] https://thenewstack.io/tiktoks-ex-algorithm-chief-launches-v...