I've been using Intent for a while and I love it. It's how I make improvements to Auggie, our CLI agent: have an idea, start a workspace, get to a spec, implement, open PR. Rinse and repeat.
If you want to get more value out of coding agents, Intent it for you.
Very excited to see what Adaption have cooking! Adapting models on the fly feels like it could bring a step function improvement in model quality for real world applications.
Yes, there are a few differences:
* The code review quality is higher thanks to a customized agent we built for this purpose. Our agent scores highest in quality of all code review agents we've tested on a Greptile-based code review benchmark.
* Extensive customizability of code review guidelines.
* Analytics dashboard showing engagement, performance and ROI
* Ease of installation (3 clicks to install)
Big day: Augment launched the world's best code review agent, based on the newly minted GPT 5.2. We've been using it internally for a while and it regularly catches bugs that both the author and reviewer miss. Can't recommend it enough.
Introducing Augment Code Review, powered by GPT 5.2. It's the #1-ranked AI code reviewer across precision, recall, and overall quality.
Free for the first week for every paying customer, and free for open source projects.
The model landscape is changing rapidly, with lots of new and exciting coding models coming out on almost a monthly basis. You can expect Augment to present a curated list of models that provide the best coverage across a variety of coding tasks, with the best possible experience
The past few weeks, we've been evaluating and working with GPT-5 Codex. Ultimately, we decided not to include it in the available models in Augment. Why? ๐งต
We found that Codex is an excellent model, but one that would require substantial changes to our prompts to make it work well with Augment's tools and Context Engine. So instead, we will focus on improving the GPT-5 experience (also an excellent coding model).
Claude Sonnet 4.5 is now the default model for Augment Code.
Weโre rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
Hereโs how Sonnet 4.5 compares to Sonnet 4:
Claude Sonnet 4.5 is now the default model for Augment Code.
Weโre rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
Hereโs how Sonnet 4.5 compares to Sonnet 4:
Great conversation with @matthewberman and @hnshah today!
Talked about why context is king in AI coding and our unlimited context approach at @augmentcode. Hope other folks get access to the model I'm using as my daily driver soon... ๐
Watch it here: https://t.co/MZM5sv1oMz
Excited to announce Augment Remote Agents! Once you get used to coding with agents, it becomes obvious that one is not enough. Coding with 5 agents working on parallel on different tasks feels like a superpower. https://t.co/y7YscrqhIf
Daunting task of the day: Add a feature to our frontend, which I'm not familiar with. Augment's Agent can answer deep questions like "explain what happens after the user clicks Send" and help me cut through the complexity. @augmentcode ftw
Been using Augment's Agent continuously, and its deep codebase understanding is unmatched. I go from ticket, through design and implementation, to PR and review, all without leaving Agent mode. Haven't had to write a line of code myself in a while, which is a surreal experience.
Augment Agent is now live.
Designed for large-scale codebases โ with 200K context tokens, persistent memory, and deep tool integrations, Augment Agent is available in VS Code and JetBrains.
Augment Agent is now live.
Designed for large-scale codebases โ with 200K context tokens, persistent memory, and deep tool integrations, Augment Agent is available in VS Code and JetBrains.