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The new markdown-based format aims to provide structured, natural language workflows for AI agents, addressing unpredictability and maintenance issues seen in earlier approaches.
For AI agents, a knowledge base fuels fast and accurate responses and enables complex reasoning. We asked the experts how to build one.
From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing.
Letting AI churn out an endless supply of crappy code that humans then have to debug and maintain doesn’t move anybody’s business forward.
As genAI takes hold in the enterprise, improvisation is giving way to engineering. Can organizations build the guardrails needed to turn clever prompts into dependable systems?
The latest version of the 30-year-old server-side scripting language also includes a new a pipe operator, persistent cURL handles, and more.
Microsoft language F# 10 includes long-sought #warnon and #nowarn directives to enable and disable warnings, among other improvements.
In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data sets.
The model is now embedded across Google’s core products, introducing new agent features and automation tools that raise strategic questions for enterprise IT leaders.