Kilo

The frontier is certainly not slowing down. What's your new daily driver?

@sneha___03 DSA gets you through interviews. Building real products gets you hired. In 2026, you probably need both.

Be honest guys, Is DSA still worth learning in 2026?

@CodeWithAmann Why lock yourself into one model when you can switch between the best ones as they evolve? That's exactly why we built Kilo.

Be honest You have $20. What would you choose?

@VadimStrizheus Whichever gets the team shipping faster without doubling the AI bill.

As a founder, which AI model do you prefer? 1. Fable 5 2. GPT 5.6 3. GLM 5.2

@RhysSullivan Let them cook. Once it's production mready, Kilo users will have it too.

Anthropic is developing a new model

@suni_code The mistake isn't using GPT-5.6. It's reaching for the biggest model before defining the problem. Model selection is an optimization problem too.

DON'T USE GPT 5.6 TO BUILD PERSONAL PROJECTS DON'T USE GPT 5.6 TO BUILD PERSONAL PROJECTS DON'T USE GPT 5.6 TO BUILD PERSONAL PROJECTS DON'T USE GPT 5.6 TO BUILD PERSONAL PROJECTS DON'T USE GPT 5.6 TO BUILD PERSONAL PROJECTS DON'T USE GPT 5.6 TO BUILD PERSONAL PROJECTS I repeat. DON'T USE GPT 5.6 TO BUILD PERSONAL PROJECTS

Join us and @kilocode next Thursday, July 16, for a live build session on - Architect, Code + Debug agents in action - Custom Mode built from scratch - Share modes across your team RSVP here: luma.com/gmicloud-j1i3?…

Interstellar 😎 blog.kilo.ai/p/the-new-gpt-…

Question: What's the first thing you are building with GPT 5.6? Show us your projects in the thread below 🧵👇

It's why Kilo is model-agnostic from the ground up. 500+ models, switch mid-task, pay per token at the provider's own price. When even OpenAI is routing between models inside their own product, picking the best model for the job stops being a preference and starts being the architecture everyone lands on.

This is the multi-model thesis in a nutshell. Different tasks want different tradeoffs on latency, cost, and reasoning. The smart move was never one super-model that does it all. It's matching the right model to each task and switching freely as better ones show up.

OpenAI's latest launch is a quiet admission that one "super-model" is not the future.👇

Available now on the JetBrains Marketplace for IntelliJ IDEA, WebStorm, PyCharm, GoLand, Rider, and other JetBrains IDEs. blog.kilo.ai/p/kilo-code-go…

Some VS Code-specific features are still being ported, especially the ones that depend on VS Code APIs. The GA release covers the core workflow today: chat, commands, mentions, MCP, model selection, and attachments.

A lot of AI coding tools arrive in JetBrains as embedded webviews. That can create friction with layout, focus, shortcuts, and theming — the small things that make a plugin feel separate from the IDE.