Augment Code

Hello, world! We’re Augment Code, the first developer AI purpose-built for teams. What makes Augment different? Context. Every Augment feature is context-aware. Read more: https://bit.ly/4fdJ1UU

From pixels to production. Using MCP in Agent to go from Figma config to production-ready components — automatically. Watch the demo👇

"Do I still need this code?” Claude-3.7: "Nope—deleted it, opened a PR, and assigned a reviewer." The jump from 3.5 to 3.7 highlights how model tuning is all about finding the right balance—making the model helpful without it being too passive or too aggressive. That balance between being proactive and overstepping is one of the hardest parts of training. Our co-founder, Guy Gur-Ari, breaks it down on the latest episode of Modern CTO.

"Do I still need this code?” Claude-3.7: "Nope—deleted it, opened a PR, and assigned a reviewer." The jump from 3.5 to 3.7 highlights how model tuning is all about finding the right balance—making the model helpful without it being too passive or too aggressive. That balance between being proactive and overstepping is one of the hardest parts of training. Our co-founder, Guy Gur-Ari, breaks it down on the latest episode of Modern CTO.

Every AI coding agent will mess up. (Yes, even ours.) The difference between a bad experience and a productive one? How you recover—without losing flow. Here’s what we’ve learned from watching thousands of Agent sessions 👇 🤏 When the output is slightly off: ✅ Tweak it yourself ✅ Re-prompt with tighter scope ✅ Add context (examples, file refs) Most errors are recoverable with clarity. 🚫 When it’s way off: ✅ End the session ✅ Restart with a smaller task ✅ Explain the why, not just the what Don’t waste time salvaging a bad plan. Resetting is normal. ⏪ Use checkpoints. If the Agent’s edit breaks something, rewind and retry. ❓ Avoid ambiguity. The Agent might treat your question like a command. Instead, prefix with: “Just a question—why was X moved?” You’ll get clarity without triggering unintended edits. 🧠 Shift your mindset: - You’re not just fixing the Agent. - You’re learning how to work with it. Recovery is part of the workflow—not a failure.

What if your AI assistant could build your backend, front end, run the tests — and then tell you why it did what it did? That happened to me this week with Augment Code 😵 Cursor struggled with an API endpoint. 🧠 AugmentCode solved it in 5 minutes. Then I asked it to build a full Python module for AI agents. It delivered: ✅ Backend services ✅ Front-end interface ✅ Terminal-tested both ✅ Explained every step I’ve used ChatGPT, Claude, and Cursor, but this was different. I shared the full story — from early coding days in Notepad to this moment that felt like magic. Thanks, Susan Jenkins  for sharing this tool with me. I haven't been able to stop coding 😊 #AugmentCode #Cursor #CodeGeneration #WomenWhoCode #DevTools #EngineeringLeadership

🚨 Most devs think prompting is the hard part. But if you’re working with an AI coding Agent on complex engineering workflows, what really matters is how you work while it runs. After tens of thousands of user interactions, we’ve seen a clear progression: 3 Modes of Working with an AI Agent 1. Beginner → Observe + Approve You watch carefully. Approve or reject steps. Ask follow-ups. 👉 Focus: Understand before you trust. 2. Intermediate → Parallelize You’ve seen it succeed. You give it a task—and move on. Review when it’s done. 👉 Focus: Ship faster without dropping quality. 3. Power User → Collaborate in Real Time You co-work with the Agent. Debug together. Nudge it mid-task. Leave #TODO(agent) notes and batch review later. 👉 Focus: Stay in flow. — The takeaway? 🛑 Don’t treat your Agent like a one-shot executor. ✅ Treat it like a smart collaborator.

Customer Managed Keys (CMK) are now live in Augment for Enterprise Customers. Manage your own encryption key. Revoke it, and Augment loses access—immediately. AI adoption often stalls—not because of bugs or latency—but because of one question: Who controls the data? Now, the answer is: you do. With CMK, encryption happens using your cloud-stored key. We never see it. Never store it. And if your team revokes access, that access ends immediately. No backchannels. No delays. It’s built for security teams, without slowing down devs: - Satisfies compliance and audit reviews - No local installs or hardware - Works across VS Code + JetBrains If you’re rolling out Augment org-wide, CMK clears the path. - Security ✅ - Procurement ✅ - Velocity ✅

𝐆𝐏𝐓-𝟒.𝟏 𝐚𝐥𝐦𝐨𝐬𝐭 𝐭𝐨𝐩𝐬 𝐂𝐥𝐚𝐮𝐝𝐞 𝟑.𝟕 𝐨𝐧 𝐜𝐨𝐝𝐢𝐧𝐠?! New eval dropping using our #1 SWE-bench coding agent! - GPT-4.1 beats Gemini 2.5 Pro and almost tops Claude 3.7 Sonnet! - Even GPT-4.1 mini matches Claude 3.5 Sonnet V2 performance. It was the top model just 2mo ago!

𝐋𝐋𝐚𝐌𝐚 𝟒 𝐛𝐞𝐚𝐭𝐬 𝐃𝐞𝐞𝐩𝐒𝐞𝐞𝐤-𝐑𝟏 𝐚𝐧𝐝 𝐕𝟑 𝐨𝐧 𝐜𝐨𝐝𝐢𝐧𝐠?! Fresh evaluation using our #1 SWE-bench coding agent and >200,000,000 tokens of production-grade code: Claude 3.7 Sonnet > Gemini 2.5 Pro > LLaMA 4 Maverick > DeepSeek-V3 (03-24) > Deepseek-R1