Some users click with code agents. Others struggle. Why? Agents are flexible and creative - just like their users! It's confusing! Agents should understand, educate, and adapt to users. Even personalize. If the agent isn’t willing to grow, the user likely won’t either.

PSA for engineering leadership exploring software agent solutions 🚨 This post nails the difference between agentic and agentless approaches — and why it actually matters for real software tasks, beyond SWE-Bench scores!

What will software development look like in 2026? With coding agents rapidly improving, dev roles may look quite different. My current workflow has changed a lot: - Work in github, not IDEs - Agents in parallel - Write English, not code - More code review Thoughts + a video👇

Introducing Devstral Small and Medium 2507! This latest update offers improved performance and cost efficiency, perfectly suited for coding agents and software engineering tasks.

OpenHands is so general-purpose that I now think of leveraging it with workflow-driven prompting. Also stating constraints works well for me. Examples: • Examine the existing architecture, read docs for Y, plan how to implement X, then do it → Instead of: "Implement feature

>>> Qwen3-Coder is here! ✅ We’re releasing Qwen3-Coder-480B-A35B-Instruct, our most powerful open agentic code model to date. This 480B-parameter Mixture-of-Experts model (35B active) natively supports 256K context and scales to 1M context with extrapolation. It achieves

Nothing more frustrating than seeing "private scaffold" on public benchmark results I love that model providers like Qwen and Mistral are now reporting their results specifically using OpenHands as the scaffold--feels like we're becoming a standard here x.com/Alibaba_Qwen/s…

We built OpenHands in the open (~60K ⭐️ on GitHub). Now we’re giving back to the OSS ecosystem. Announcing the OpenHands Cloud OSS Credit Program → $100–$500 credits for maintainers. 👉 Learn how to apply!

Having appropriate tests makes a world of difference for agent-driven development. If your agent can write a test to localize a bug or exercise a new feature, the following implementation is much more solid. OpenHands+GPT-5 is now 🥇 on the SWT-Bench testing leaderboard!

Introducing ⚔️PR Arena⚔️ - free AI coding agents to fix real GitHub issues. Claude Sonnet 4 vs Gemini 2.5 Pro… Who writes better pull requests? 👉 Install here: github.com/apps/openhands… Powered by OpenHands

Which LM is better at agentic coding? We have a bunch of useful academic benchmarks like SWE-Bench, but we don't have a good comparison of agentic coding LMs *in the wild*. To solve this, we released PR Arena: github.com/neulab/pr-arena

I'll be speaking about automating large-scale refactors with OpenHands at AI Engineer Paris! It's amazing how much software agents can get done if you orchestrate them thoughtfully.

A recent study by Becker et al. finds AI copilots like Cursor slowed expert OSS devs by 19%. But what happens when we compare copilots to more autonomous coding agents? Our study finds the opposite story: agents can boost productivity. 🧵

We are excited to launch the ⚔️PR Arena⚔️ leaderboard! Full results will be revealed after a certain milestone of community votes. Fix your GitHub issues for free and vote for better fix! 👉Leaderboard & Setup Guide: prarena.web.app

SWE-Agents are crushing benchmarks like SWE-Bench but are still fragile in the wild. I argue A/B testing is the missing piece for evaluating and improving SWE-Agents. Proof in Production: Evaluating Effectiveness of SWE Agents with A/B Tests open.substack.com/pub/rohitmalh/…