Published signals
Signals
Browse the published AI technology signals and decide which to read first.
Titles and summaries are in English where the source is; the editors' notes and signals from Chinese sources are in Chinese.
AI-powered fuzzing with the GitHub Security Lab Taskflow Agent
In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework.
For 维护 C 或 C++ 开源项目、还没有接入模糊测试的维护者、在把安全流程交给智能体的应用安全工程师
Migrating the GitHub Copilot runtime to Rust, using Copilot
GitHub rewrote the Copilot agent runtime from TypeScript into more than 800,000 lines of production Rust, mostly written by agents across 128 incremental pull requests.
For 计划让智能体参与大规模迁移或重写的工程负责人、维护测试基础设施、需要决定谁能改测试与快照的团队
Copilot vs. raw API access: What are you actually paying for?
GitHub argues the choice between Copilot and raw model API access comes down to which layer of the system you need to own: the model call, or the workflow, policy, and harness around it.
For 在评估自建智能体平台与采购现成工具的技术负责人、负责研发工具链选型与预算的工程管理者
Better tools made Copilot code review worse. Here's how we actually improved it.
GitHub swapped Copilot code review's custom exploration tools for the better-maintained shared CLI tools (grep, glob, view) expecting a clean upgrade — and got higher cost and fewer caught issues. The tools weren't the problem; the instructions were. Rewriting them around how a reviewer actually reads a pull request flipped the regression into ~20% lower review cost at the same quality.
For 在智能体框架上构建产品的工程团队、维护智能体工具层的平台工程师