… The success and limits of AI-directed robot training Equipped with ENPIRE, the AI coding agents developed strategies for robotic self-improvement that achieved a 99 percent success rate across several manipulation tasks, including the standard “Push-T” task that challenges robots to move a T-shaped… …
… It appears that coding agents are making a coding background less relevant to successful programming. At the same time, successful sessions are more likely to exhibit domain expertise. …
Clean GitHub repo tricks AI coding agents into running malware By Bill Toulas June 27, 2026 10:22 AM An agentic coding tool tasked with running a seemingly benign GitHub repository could execute a malicious payload that is invisible to both security agents and human reviewers. …
… Although emerging coding agents can generate code to automate algorithm search , their successes remain largely confined in digital environments. …
For coding agents, optimize cost per successful task, not cost per token
One thing that feels under-discussed with coding agents is the gap between interactive success and scheduled reliability. In an interactive run, a lot of assumptions are quietly true: the user is present, credentials are…
TLDR below 👇🏼 I’ve seen a lot of hype around Qwen 3.6 35B and 3.5 120B lately, especially regarding coding and tool-use capabilities. On this subreddit it is the defacto recommended model for everyone without a Datacente…
Hey HN,I think session transcripts written by coding agents like Claude Code and Codex are very interesting because they offer a detailed window into how work gets shipped. You can see the sequence of decisions that resu…
Hi HN! We’re Adi and Alex, founders of Bullet, a faster coding agent.Bullet started in a senior year dorm. We were fresh out of working at AppLovin and Citadel, and naturally thought we were on a sure path to startup suc…
… 2026 EHR-Complex: Benchmarking Medical Agents for Complex Clinical Reasoning 2026 ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning 2026 AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? …
… The reported 86% success rate across 50 solid-mechanics benchmarks suggests that agentic systems can do more than chat or code generation: they can orchestrate specialized engineering tools end to end. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct For robots to work reliably in commercial and industrial applications, can recent advances in agentic coding systems combine interpretable robot programming with the open-world adaptability of model-free policies ? …
… We study Playful Agentic Robot Learning, where an embodied coding agent uses self-directed play as a continual skill-learning stage before downstream tasks arrive. …
… 2026 ScarfBench: A Benchmark for Cross-Framework Application Migration in Enterprise Java 2026 DeployBench: Benchmarking LLM Agents for Research Artifact Deployment 2026 Documentation-Guided Agentic Codebase Migration from C to Rust 2026 Coding Agents Don't Know When to Act 2026 SWE Atlas: Benchmar… …
… CAPA contains 600 coding sessions across 60 balanced user–ambiguity cells, including 300 held-out evaluation sessions. We evaluate 12 recent LLMs under no-history and same-user-history conditions using executable success, first-turn success, and turns-to-completion. …