In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

First 2026 cyber recap covering IoT exploits, wallet breaches, malicious extensions, phishing, malware, and early AI abuse.

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...

Carina Hong, 24, raised $64 million to build an AI mathematician that discovers new theorems and solves century-old problems.

Anthropic's Ralph plugin keeps Claude retrying until specs pass, with a stop hook to pause loops, so you ship cleaner code ...

Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

According to @godofprompt, recursive prompting is an AI technique where system outputs are fed back in as inputs to refine solutions through multiple iterations (source: @godofprompt, Dec 16, 2025).

Over the last five years, the business world has undergone a more dramatic transformation than it did in the entire decade before. Just as companies were adapting to permanent shifts in workplace ...