I've been building VT Code for about a year as a way to understand how coding-agent harnesses work in practice. This month I'm continuing building it https://github.com/vinhnx/VTCode.

I've been using Merge AI Gateway and it's been useful so far. They tend to add new models quickly, and support has been responsive. https://gateway.merge.dev/

Glad you’ve been enjoying Gateway! We also have some huge discounts on open models like GLM 5.3 Flash.

Hi Matt, awesome you're here. I've been using GLM-5.3 Flash since it came out and really enjoy using with via Merge AI Gateway.

GPT-6 Astra scores 74.1% at DeepSWE v1.1 bench. Huge!

https://chatgpt.com/ is up again

It seems OpenAI is going to release Astra soon, https://x.com/ChatGPT/status/2095527989077557738.

I've been building VT Code for about a year as a way to understand how coding-agent harnesses work in practice.

Most of the code has been built with the help of coding agents, including VT Code itself. My focus has been on designing and iterating on the harness: tool execution, context management, sandboxing, permissions, verification, long-running sessions, subagents, and provider support.

It's written in Rust and runs primarily in the terminal.

https://github.com/vinhnx/VTCode

I'd be interested in feedback from others building coding agents, especially around long-running reliability and harness design.

Muse Spark 1.3 Max is the first Meta model to surpass OpenAI’s best on Artificial Analysis’ Intelligence Index. https://artificialanalysis.ai/models#intelligence

Worth noting: Claude Fable 5.1 and Mythos 5.1 are Anthropic’s first models to watermark text outputs.

I keep up with HN by reading it daily. My Firefox browser always have 2 pinned tabs at the top most: the front page /news and /ask. I also subscribed to HN Weekly Newsletter (https://buttondown.com/hacker-newsletter/archive/).

I have been building and maintaining a coding harness, with help from the community https://github.com/vinhnx/VTCode. Hope you'll check it out.