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Tracy, an open-source Kotlin library, helps developers trace, monitor, and evaluate AI-powered features directly from their Kotlin or Java projects, JetBrains said.
If we want AI-assisted development to actually scale, we need to confront the barriers to deploying AI-generated code safely and reliably.
AgentCore delivers an enterprise-grade infrastructure and operations layer for deploying and managing AI agents at scale, with a few wrinkles.
By integrating Quotient’s evaluation and reinforcement‑learning tech, Databricks hopes to address a growing CIO challenge: ensuring AI agents behave consistently, explainably, and safely in real‑world operations.
This second preview release also features improvements to the .Net SDK, code analyzer, and ASP.NET Core.
Powered by the TypesScript-native runtime Bun, Electrobun improves Electron with a smaller application footprint and built-in update mechanisms.
So-called ‘safety’ guardrails in AI models are not making us safer. In fact they’re downright dangerous.
They’re passing up the thrill of a lifetime. At least they have experienced the joys of actually writing code.
Amazon’s engineering team is working to figure out ways to minimize site and other operational glitches that executives believe are AI-related.
In a preview stage, Code Review launches a team of agents that look for bugs in parallel, verify them to filter out false positives, and rank them by severity.