After completing your single task (and taking a break to acknowledge your progress), you move to the next concrete action.

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

On December 22, Z.ai released GLM-4.7, the latest iteration of its GLM large language model family. Designed to handle ...

Explore how AI assistants in 2025 used persistent memory, proactive guidance, cross-device reach, and DPDP regulation in ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source ...

Flaky tests have long been a source of wasted engineering time for mobile development teams, but recent data shows they are ...

Targeting everyday lab workflows, the release helps engineers analyse difficult signals faster without changing how they already use oscilloscopes.

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Software engineering does not disappear. But the path in changes: junior roles require stronger fundamentals, better ...