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Sourcegraph has rolled out an auto-edit capability to Cody and made a code review agent and API for building custom agents available through early access programs.
The Rust leadership team announced progress on its 2024 project goals including support for async closures, stabilizing Rust language features used in the Linux kernel, and ongoing work on return type notation.
Astonishing advancements fueled by AI, agentic AI, quantum computing, brain-computer interfaces, and blockchain are on the horizon.
The do’s and don’ts of implementing an authentication process that provides strong security without irritating your users.
Stable values combine immutable state and flexible timing of initialization, enabling optimizations for user code previously available only to JDK code.
A relatively small addition to the v6.13 Linux kernel could trim data center costs by optimizing how data is delivered to an application based on network traffic conditions.
Half of organizations that use or deploy Java-based applications and infrastructure also use Java to code AI functionality, according to the Azul 2025 State of Java report.
AI Model Discovery roots out models in use, assesses their safety, and enforces use policies — but only if they are from Hugging Face and wrapped in Python, for now.
How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems.
Security platform for AI coding assistants also brings added support for GitHub Copilot Free, Amazon Q, Tabnine, Blackbox, GitLab Duo, Supermaven, and Sourcegraph Cody.