A New Way to Tell AI to 'Stop': Meeting Control Theory
Are your AI agents stuck in endless loops wasting costs? Introducing LoopGain, a technology that applies control theory to stop tasks at the optimal moment.
Are your AI agents stuck in endless loops wasting costs? Introducing LoopGain, a technology that applies control theory to stop tasks at the optimal moment.
Introducing PlanWright, a solution for efficiently managing multiple AI coding tools and enhancing collaboration. Learn how to boost development productivity and explore future prospects.
We introduce an AI agent maturity model and assessment tool that allows your development team to gauge how effectively they are utilizing AI in just 5 minutes.
An explanation of a new paradigm where AI agents perform tasks autonomously using file systems and bash commands instead of complex, purpose-built tools.
Learn about AI agent technology that learns how websites work from within the browser to create automated tools on its own.
We explore how traditional version control systems are evolving to manage the massive influx of code generated by AI agents.
Learn about 'AMA2', a messenger service where humans, AI agents, and other agents can communicate and collaborate.
Learn about peerd, an extension that runs AI agents directly within your web browser to handle repetitive tasks.
Introducing 'Git Worktrees' and GitHub's agentic workflows, technologies that maximize development efficiency by deploying AI coding agents on multiple tasks simultaneously.
How to publish code or documents generated by AI agents as secure, enterprise-ready webpages instead of local links
An easy-to-understand explanation of the differences between simply bolting a chatbot onto existing editors like VS Code versus 'agentic coding' IDEs designed from the ground up for AI.
Through the 'WUPHF' project where AI agents record and learn autonomously, we explore the secrets of a smart AI memory store built solely with Markdown and Git, without complex databases.