We’re heading to Amsterdam! @hackerrank is a proud sponsor of The Recruitment Conference taking place on November 5th, and we can’t wait to connect with the TA and HR community 🙌 Come find our booth to meet the team and talk about what’s changing in technical hiring - and what’s working for companies that are getting it right. Also catch Ben Stollard on stage for his keynote - Hire for the Agentic Era. He’ll share how leading companies are rethinking technical hiring and what talent leaders need to know to make the shift. Get your tickets here: therecruitmentconference.com…

HackerRank Bench just added Gemini 4 Argon to the leaderboard of frontier models on real-world, long-horizon SWE tasks. Argon scored 49.7% overall, just behind @AnthropicAI's Opus 5.5 and Fable 5.1. It did so at just a third of the cost of Opus 5.5! 👀 Here's where Argon stands out: it tops the leaderboard for greenfield implementation (63%), building working systems from scratch faster and more completely than every other model we tested, including Opus 5.5. It also leads frontend & interaction fidelity among non-GPT models (63%). Its weak spot: Identity & provisioning integration, where it trails Claude Opus 5 and several others - implementing standards-based identity lifecycle and synchronization across tenant boundaries is still its toughest category. Every task on our benchmark is original, unpublished, and scored by hand-written behavioral verifiers. Find the full report with the leaderboard, cost curves, and task-type breakdowns. hackerrank.com/bench/report

Developers build with AI every day. Your hiring process should show you how they do it. On October 28, our product team is going live to walk through all the exciting updates from our fall release! Here’s a preview of what we'll cover: 1. See how Chakra, our AI interviewer, goes beyond code to evaluate AI fluency. 2. Explore the reinvented Interview, which gives hiring managers a firsthand look at how candidates solve realistic engineering problems in a shared coding environment built for AI. 3. Learn how HackerRank MCP brings your Chakra and Interview context into your team’s AI workflows to prepare interview briefs, create recruiting reports, and more. Register now to join us live and get your questions answered: pages.hackerrank.com/fall-re…

basically this but for tech hiring 🤪

HackerRank is teaming up with @OpenAI for the October edition of Orchestrate! 🎉 The top three builders who use Codex will win thousands of dollars’ worth of Codex credits to keep building, experimenting, and honing their skills. If you haven't already registered, do it now! - hackerrank.com/hackerrank-or…

Only ten days to go ⏳ till the October edition of HackerRank Orchestrate kicks off! Have you registered yet? The format stays the same as always - 24 hours to plan, build, and ship an AI agent, followed by a 30-minute live interview with an AI judge to defend it. And as always, there's exciting prizes to play for. 1st place winner takes home $1,200, 2nd–5th place get $300. The top 3 who build with @OpenAI's Codex will also win credits - up to $5k. Take a peek at how the last one went, where we hosted 200+ builders at our Bangalore office! Sign up now: hackerrank.com/hackerrank-or…

Is there one AI model that’s best at every kind of software engineering? Our results say no. Different models outperform others on different kinds of work. That’s what our new benchmark is built to measure, and today we’re proud to share it with everyone! HackerRank-Bench is a long-horizon benchmark that tests 15 frontier models across complete software systems - from understanding a codebase to building, modifying, and verifying behavior. It shows us which models lead on each type of engineering work, and where they still fall short. Read the full report here: hackerrank.com/bench/report?…

We owe developers all over the world an apology. A new era is here. Stay tuned.

Prizes for the October HackerRank Orchestrate are now live. Bring your best work and compete with developers from around the world. See what's up for grabs and register here: hackerrank.com/hackerrank-or…

Everyone wants more compute. But as @cerebras puts it, if you’re actually building the compute, the bottleneck isn’t infrastructure, but people. This is how they’re hiring AI-native engineers, and why they trust us to help them do it: