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1. Augment Agent is the first AI coding assistant designed for professional software engineers working with large codebases. I built an Amazon clone using Augment Agent in just a few minutes.

Poonam Soni

214,937 subscribers

60,060 次观看 • 1 年前 •via X (Twitter)

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Poonam Soni 的头像

Poonam Soni1 年前

Goodbye Cursor Augment Agent just dropped and it has taken coding to the next level. 7 Powerful features you don't want to miss:

Poonam Soni 的头像

Poonam Soni1 年前

2. Quickly master your largest and most complex repos.

Poonam Soni 的头像

Poonam Soni1 年前

3. This AI tames the complexity of evolving your most sophisticated codebases.

Poonam Soni 的头像

Poonam Soni1 年前

4. Make updates with confidence.

Poonam Soni 的头像

Poonam Soni1 年前

5. Augment Agent tops the SWE-bench Verified leaderboard, combining Claude Sonnet 3.7 and O1.

Poonam Soni 的头像

Poonam Soni1 年前

6. No need to switch – Augment is fully compatible with VSCode, JetBrains, Vim, GitHub, and Slack.

Poonam Soni 的头像

Poonam Soni1 年前

7. Leaderboard Topping Code Quality

Poonam Soni 的头像

Poonam Soni1 年前

Special thanks to @augmentcode for sponsoring and supporting my content. Try here:

Poonam Soni 的头像

Poonam Soni1 年前

Don't forget to bookmark for later. If you enjoyed reading this post, please support it with like/repost of the post below 👇

Yuriy Novikov 的头像

Yuriy Novikov1 年前

Professional software engineers do not a stuff like cloning Amazon usually.

GingerPress 的头像

GingerPress1 年前

Yes, one of my pet peeves with cursor is how it doesn't really know how to interact with an entire codebase - you really have to give it a lot of contextual information by linking specific files - this is a game changer for refactoring.

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Augment Agent is now live. Designed for large-scale codebases — with 200K context tokens, persistent memory, and deep tool integrations, Augment Agent is available in VS Code and JetBrains.

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Nothing beats Augment Code answering questions about large codebases. It's a free extension (works in VSCode, JetBrains, and NeoVim), and has a community edition you can run for free forever. Try this experiment: 1. Download any large open-source project from GitHub 2. Augment will index the code 3. Start asking questions about the codebase 4. Do the same using any other coding agent 5. Compare the speed and the depth of the answers you get If you have a small codebase, the differences with other coding agents won't be obvious, but if you are working on a large project, things will click immediately. Suggestion: download the Keras repository (~180,000 lines of code). I know the library well, and the answers I got from Augment were pretty impressive. By the way, Augment is a fully-fledged AI coding assistant. You can use its agent in every imaginable way: • To implement brand new functionality • To make quick edits to your code • To refactor existing functionality • To generate unit tests • To generate documentation • To handle GitHub—pull requests, commits, branching, etc My favorite feature is their "Next Edit" functionality: 1. You edit the code 2. Augment analyzes the change (across the entire codebase!) 3. Augment determines the ripple effects of that change 4. Augment suggests everything you need to update Here is a link to the tool: Thanks to the team at Augment Code for partnering with me on this post.

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I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

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