AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
Microsoft’s Binlog MCP Server Empowers AI Assistants to Diagnose MSBuild Failures and Analyze Performance via Natural Language
A preview tool released June 17, the Microsoft Binlog MCP Server enables AI assistants like GitHub Copilot to investigate build failures, trace property origins, analyze bottlenecks, and compare builds using natural language queries on MSBuild .binlog files.
Self-Harness: When AI Agents Start Debugging Themselves—No Human Handholding Required
Self-Harness gives AI agents the tools to autonomously test, evaluate, and rewrite their own decision logic—shaving up to 60% off performance bottlenecks by removing the human bottleneck entirely.
For More Than Two Decades, the Smart Home Fought One Battle: Making Devices Easier to Control
Two decades of voice commands and mobile apps finally hit a wall. Now AI is shifting the smart home from remote control to proactive orchestration — and families are leading the change.
Thomas Dohmke’s Entire.io Tackles AI Governance Through Agent-Aware Git Hosting
Former GitHub CEO Thomas Dohmke has launched Entire.io, a decentralized Git hosting platform designed to offload AI agent activity from GitHub’s strained infrastructure, using parallel repos and agent session auditing to support the new era of AI-driven code generation.
Four Agentic AI Memory Systems for Smarter LLMs
An overview of four third-party projects—Graphiti, Hindsight, Mem0, and Supermemory—that expand how AI agents and LLMs can draw on facts, documents, and conversations to deliver results through persistent memory capabilities.
Questions Remain About Estonia's State ID System and AI Agent Exposure
Estonia's plan to issue state-backed digital identities to AI agents raises major security concerns. A security & compliance analyst breaks down the administrative, cryptographic, and operational risks.
Slack and The 18 Best AI Platforms in 2026 – Tested & Reviewed | Lindy
Salesforce is transforming Slack into an agency powerhouse by integrating CRM, Tableau, and Data 360 through the Model Context Protocol (MCP), enabling seamless conversational workflows.
Every Company an AI Lab: Why Investors Valued Prime Intellect at $1B to Open-Source Agentic Training
Prime Intellect raised $130 million to help enterprises bypass closed frontier labs by training specialized, reinforcement-learning-driven AI agents on their own data and infrastructure.
OpenAI is sunsetting its AI-powered browser after less than a year. But it's moving some agentic browsing features to its ...
OpenAI is sunsetting Atlas, the standalone AI browser launched just nine months ago. Rather than kill its web ambitions entirely, it’s embedding Atlas’s most useful agentic capabilities directly into ChatGPT — first in Chrome and then in the desktop app, turning your browser into a co-pilot.
The Agentic Silicon Myth: Why 'AI CPUs' Are Just Well-Optimized General-Purpose Processors
An analysis of the marketing push behind so-called 'agentic CPUs' from industry giants, arguing that these processors are evolutionary improvements in datacenter efficiency rather than a new architectural paradigm.
Beyond Prompts: The Reality of 'Loop Engineering'
'Loop engineering' is the newest buzzword in AI, promising to replace manual prompting with autonomous agentic workflows. But is it a breakthrough, or just a new incentive to consume more tokens? We explore the transition to agentic AI, the hype, and the hard engineering realities—like data governance and human oversight—that actually define successful automation.
Microsoft SkillOpt: Training Frozen LLM Agents with Text-Space Optimization and Validation-Gated Edits
Microsoft's SkillOpt treats natural-language skill documents as the trainable state of frozen LLM agents—training procedures, not weights—via trajectory-driven edits and held-out validation gates. This text-space optimization bypasses fine-tuning to deliver reproducible agentic upgrades.