3 posts tagged with "devtools"

Google CEO Sundar Pichai recently made a bold claim: “A solo developer using Claude can now outcompete a 10-person Google team.”

He is right. But there is a massive, expensive catch that the industry is ignoring.

Right now, the vast majority of developers do not use AI coding tools in a way that unlocks this potential. Instead, they treat LLMs like a highly advanced autocomplete. They start a session from zero, give a vague command to a "Black Box" IDE, and watch the AI blindly guess its way through their codebase.

The result? Catastrophic context-loss, rewritten adjacent code, and skyrocketing API bills to fix hallucinations.

Over the last few weeks, the AI industry has been consumed by model leaks. We’ve seen hype surrounding Anthropic’s "Mythos" model, ongoing debates about Gemini's enterprise security, and anticipation for the next GPT iteration.

Everyone is obsessing over the engines. But a subtle, far more important shift is happening in the way elite developers write code.

Recently, at a developer meetup in Riga, a field engineer from one of the major AI coding tools admitted something that validates everything we’ve been building at Priset: The harness now matters more than the AI model.

We have officially moved from prompt engineering to context engineering, and now, to harness engineering. But what does that actually mean for you as a developer?

Your IDE is your sanctuary. It's where ideas become reality, where problems are solved, and where you, the developer, spend countless hours perfecting your craft. We believe that the most powerful tools shouldn't force you to leave that sanctuary. They should meet you right where you are.

Today, we're closing that gap. We are thrilled to announce the official launch of the Priset extension for Visual Studio Code!

You can now harness the full power of an autonomous AI engineering partner without ever leaving your editor. This isn't just about code completion; it's about embedding an entire, automated development lifecycle directly into your workflow.

But what does autonomous AI in your IDE actually look like?

Something like this: