Cursor, Windsurf … all cool. But @AugmentCode just dropped `Augment Agent` 200K context. Persistent memory. Deep tool integrations. ... and it just hit #1 on SWE-bench Verified (65.4% on real tasks). It’s kind of a big deal. Let me show you 🧵 ↓

If you haven’t heard of SWE-bench, it’s the gold standard for testing AI agents on real @github issues. Agents must read codebases, reason through tasks, fix bugs unsupervised. Augment’s Agent hit 65.4%, *the* best open-source score to date! Results:

I use @cursor_ai a lot, so I honestly wasn’t expecting much from @augmentcode’s Agent. But wow - it plans, edits across files, runs tests, opens PRs - all from a single prompt, inside your IDE. Tried it on a scene data structure w/ confidence scores - nailed it on the first go!

.@augmentcode’s Agent also has next-level visual debugging: 1️⃣ Drag in a screenshot 2️⃣ Agent spots the UI issue (CSS, layout, logic) 3️⃣ Suggests a fix 4️⃣ Runs only the relevant tests Pretty ace!

🧩 It has persistent memory: - it can learn your coding style - remembers previous refactors - adapts to your infra and conventions It gets smarter the more you use it, no need to start from scratch each time.

🧰 Integrated Dev Workflows You can use @augmentcode’s Agent to go from ticket → code → PR without switching tools! e.g.: – @GitHub: branch, commit, PR – @Linear: issue detection + resolution – @Notion, @JIRA, @Confluence: context → implementation Pretty rad.

MCP is 🔥 and becoming a must-have in AI tooling. @augmentcode’s Agent supports it natively. – @supabase, @figma, @vercel, @Cloudflare, @getsentry – plug in APIs, SQL, CLI tools via settings.json You can even add your own tools to the agent’s context. →

Right now, you can try @augmentcode’s Augment Agent with unlimited agent calls. The folks at AugmentCode told me they’ll switch to usage-based pricing later - but for now, there’s absolutely no cap! Try it here →

That’s a wrap! If you found this thread useful, a quick RT goes a long way, especially for small teams like @augmentcode taking on the giants! 🦾 Follow me → @datachaz for takes on AI, LLMs, and agents. No fluff I promise.

@augmentcode The one thing I thought was missing, they added it. Very cool

@augmentcode Glad to hear, Jeremy! 🤗

@augmentcode 200K context AND persistent memory?! 👀 That's next level!

@augmentcode Man... I'm switching to it from Cursor! 🔥

@augmentcode Let me know when one of these tool finally manages to implement a proper software architecture ... and is able to stick to it!

@augmentcode what do you mean by "and is able to stick to it"?

@augmentcode AugmentCode is the next level 👍🏾

@augmentcode Love @augmentcode - def a tool that deserves more love

@augmentcode ohh this this looks nice, good little qol with the drag and capture thing

@augmentcode interesting

@augmentcode I have a hard time logging in

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