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247 results for “Coding Agents”
… failed runs. The timing fits current software work. Coding agents and AI IDEs increase the amount of code teams can produce in a short time. If tests, review and QA stay unchanged, more risk moves into production. …
… It connects notebooks with chat, model providers, and agents. Project Jupyter says the project is part of the Jupyter frontends area; the documentation describes it as an extension that connects AI agents to …
… broadly on July 31. The story is interesting because GUI agents often look good in demos but fail on real devices, long workflows, and changing interfaces. Qwen-UI-Agent targets exactly that gap. What Qwen-UI-Agent …
… but also inspect, accept and correct code produced by agents. The reason for this tool check is not one daily headline, but a practical pressure: coding assistants can produce pull requests faster than classic security …
Vigolium is an open web security scanner that combines deterministic modules with LLM-assisted audit and triage runs.
… describes Jupyter AI as an extension that connects AI agents to computational notebooks. The repository describes it as a native chat UI for JupyterLab, with support for multiple agents and providers. The concrete setup …
… It tackles a practical bottleneck in many agent systems: agents can act, but they often manage their own memory poorly. The paper treats memory as a trainable skill instead of simply asking for a larger context window. …
Zerve combines agentic notebooks, data discovery, reports, and deployments. For research and analytics teams, it is worth a look when chatbots and notebooks are not enough.
… longer use language models only for single chats. They let agents write code, sort tickets, query data and run long workflows. The difference matters in practice. Cloud costs were already complex, but they could usually …
… before it runs. That may sound dry, but it matters for AI agents. When an agent writes a script at runtime, there is often no classic code review. That is where dangerous cases appear: an agent is supposed to read logs, …
