Code agents are autonomous software systems that plan, write, and execute programming tasks across codebases. Truncated covers their tool releases, benchmark evaluations, architectural developments, and integration into developer workflows.
techxplore.com — In recent months, artificial intelligence agents that can reason, plan and use external tools to accomplish multistep tasks have already reshaped computer coding, online shopping, dinner reservations and cyberattacks.
huggingface.co — A Blog post by Amazon on Hugging Face
flaviocopes.com — How language models and coding agents work, shown with real runs: tokens, the context window, why models make things up, choosing a model, the agent loop, permissions, skills, MCP, verification and secrets.
www.cio.com — Why CIOs must treat AI coding agents as vendors, with contracts, secrets and egress to match.
Latent Space — What do you assign when a coding agent can finish last year’s homework in one prompt? In the second run of Stanford’s CS146S, Mihail Eric brought open-source maintainers into the course. Students have to learn an unfamiliar repo, propose a change, and ...
The Decoder — Alibaba's new coding-agent benchmark, Co-Design Bench, tests AI agents on real user requests that already tripped them up in practice. Even GPT-6 Astra, the top performer, fully solves only 26.4 percent of tasks. On older benchmarks, the same models score above 99 percent.
The Decoder — The "Into the Unknown" benchmark tasks nine AI agents with tackling open research questions from U.S. national laboratories. None of the 135 submissions meets all requirements. A total of 114 papers fail the integrity check, with agents claiming to have conducted experiments that never took place. GPT-6 Astra performs best but still doesn't meet the experts' standards.
The GitHub Blog — Writing code got faster. The work around it didn't. See how you can plan, write code, review changes, and investigate production issues with GitHub Copilot.
theregister — If you wouldn't put it on GitHub, don't give models access to it
XDA — May the best AI win.
XDA — Vibe coding only goes so far
Let's Data Science — LightOn's Maxence Lasbordes tells LDS how a local search agent found the right xarray file but missed the fix, when delegating code search pays off and why local search alone does not keep code private.
CIO — Here are five things CIOs need to understand to secure and govern Claude Code at enterprise scale.
natesnewsletter.substack.com — What OpenAI’s repository problem reveals about testing, review, and decisions—and how to identify the constraints in your own work.
O’Reilly Media — Remember back in 2019, when you had only a handful of language models to choose from, all with limited context windows? That world is gone, and it feels like a
CIO — AI agents are moving beyond assistance to doing the work. Here's how businesses can rethink workflows, teams and technology to keep up.
InfoQ — AWS has made Continuum for code vulnerabilities generally available in two regions. The service proves exploitability by running real exploits in a sandbox, then opens fixes as pull requests. Published pricing charges per finding processed as well as per line of code, and practitioners are asking what would justify letting it merge fixes on its own.
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