Augment Code and Opencode are now available in Zed. 🎉 Both agents run natively through ACP. Install them in seconds from the extensions store and use them alongside Claude Code, Gemini CLI, or Codex.
Augment Code
@augmentcode.com
The Developer AI that deeply understands your codebase and how your team builds software. Augment puts your team’s collective knowledge at your fingertips.
Today we announced an upcoming change to how Augment Code is priced. Starting October 20, 2025, plans will move from user messages per month → to a pool of credits that can be spent across activities. 📖 Read more on our blog → www.augmentcode.com/blog/augment...
Augment Code’s pricing is changing on October 20, 2025
The most powerful AI software development platform with the industry-leading context engine.
augmentcode.com
Claude Sonnet 4.5 from Anthropic is now the default model for Augment Code. We’re 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.
Tomorrow, Friday, August 29. 10am PT. AMA on r/webdev RSVP and leave your questions: reddit.com/r/webdev/com...
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The Auggie CLI is now available for everyone. Auggie brings Augment’s industry-leading context engine to every part of your stack—terminal, CI, and beyond. Getting started is simple: npm install -g @augmentcode/auggie www.augmentcode.com/product/CLI
Our industry has moved from ‘still defining an agent’ at the start of 2025 to ‘building things that can actually build things’ by mid-year. Here are some of the agentic demos that impressed me over the year, including @augmentcode.com @kiro.dev and @systeminit.com redmonk.com/rstephens/20...
An Evolution of Agent Demos that Impressed Me
Our industry has moved from ‘still defining an agent’ at the start of 2025 to ‘building things that can actually build things’ by mid-year. (That said, if you’re in the “I’d still appreciate a definit...
redmonk.com
Most people think devs use AI to write code from scratch. But we analyzed 81 million developer chats — and that’s not what’s happening. Here's what we found 👇
Most Agent failures aren’t about bad models. They’re about bad prompts. Here’s how to write prompts that actually work—based on thousands of real dev-Agent interactions 👇🧵
With Augment Rules, your software agent can build just like your team does.
Prompt. Wait. It messes up. Start over? Not if you build a feedback loop. Here’s how to make Agents actually useful 👇
Most Agent failures aren’t model problems. They’re context problems. If you give vague or incomplete info, the Agent will fill in the blanks—and usually get them wrong. Here’s how to write high-context prompts that actually work 👇
Agents respond to feedback — just not how you think. The fastest way to improve output quality over time? ✅ Reinforce what works ✅ Redirect what doesn’t ✅ Keep the feedback loop tight Here’s how smart feedback makes agents smarter 👇
Big codebases aren’t just a size problem. They’re a speed problem. We just shipped a system that shrinks search time for 100M+ LOC by over 40% — while preserving 99.9% accuracy. Here’s how we scaled context retrieval without breaking performance: 🧵
Prompting can take you a long way. But there’s a point where better prompts stop producing better results. Here’s how to recognize when you’ve hit that wall — and how to move forward👇
We outperformed the top models on CoIR. But that wasn’t the goal. The goal was to help engineers find answers in their code, not ours. So we built a benchmark that’s harder, messier, and more honest. 👇
It feels natural to write "If X, then Y" when giving an instruction. For a language model, that pattern is unreliable — and it leads to subtle failures you might not notice at first. Here’s why it happens, and how to build prompts that actually work 🧵👇
We’re the first AI coding assistant to get ISO/IEC 42001 certified — the new international standard for AI risk, governance, and data handling. If you’ve ever had to explain “how your AI tool handles data,” this changes that conversation. Here’s what it unlocks 🧵
🆕 Mermaid diagrams in Augment Agent Agent reads your codebase, understands structure, and renders a Mermaid diagram—directly from your prompt.
Agents don’t crash. They drift. At first, it’s subtle. Then it’s a mess. Here’s how to catch drift early — and reset before you lose control: 👇
The secret to building reliable AI agents? Context is everything 🔥 We just shared 11 battle-tested prompting techniques that turn AI into a disciplined coding teammate. The biggest game-changer: The model's entire worldview comes from your prompt - make it complete and consistent.
Most AI benchmarks measure performance on synthetic puzzles. But developers don’t work on puzzles. They debug real, messy, cross-file, undocumented codebases. Here’s how we built a benchmark that reflects that 👇
Most people use Agents to write code. Fewer use them to understand it. Even fewer use them to think. But that’s where they quietly deliver the most value. Here’s how 👇
Most Agent mistakes happen before the first line of code is written. Why? Because the task was too vague—or way too big. If you’re delegating work to an Agent, here’s how to do it right 👇
Working with legacy Java code? Upgrading a decade-old project doesn’t have to mean untangling build errors or rewriting everything by hand. Watch how the agent spiders through the codebase and upgrades a real-world Minecraft-related project, step by step: www.youtube.com/watch?v=MQRT...
Augment Code for Legacy Codebase Upgrades - Java 8 to 17 in IntelliJ
YouTube video by Augment Code
youtube.com
Introducing Remote Agent - cloud-based dev agents with full-codebase context, deep IDE integration, and full toolchain access. Available in VS Code. Learn more: youtu.be/yp262nUnBLU?...
Introducing Remote Agent
YouTube video by Augment Code
youtu.be
Introducing Remote Agent - cloud-based dev agents with full-codebase context, deep IDE integration, and full toolchain access. Available in VS Code. Learn more: youtu.be/yp262nUnBLU?...
Introducing Remote Agent
YouTube video by Augment Code
youtu.be
AI coding tools can expose your IP. Before integrating one, ask these 4 questions 👇
APIs taught software how to talk. MCP teaches it how to act. This isn’t a small technical upgrade. It’s an architectural shift that redefines how agents interact with tools.