Google's launch of Antigravity 2.0 represents a major shift from a coding assistant to a standalone "agent-first" desktop application, removing core developer tools like file explorers, terminals, and…
Key principles for building trustworthy AI automation, emphasizing the importance of transparent logging, user autonomy, and privacy-by-design. It uses examples like a smart home agent with action log…
Importance of building secure and efficient AI agents that operate directly on consumer hardware rather than relying on cloud services. It highlights security risks like the CISA Admin leak of AWS Gov…
Per-user OAuth is essential for AI agents because it allows each individual user to grant the agent a scoped, revocable token tied to their own account, solving the security and auditability problems …
In April 2026, DeepSeek released its V4 model, a 1.6 trillion parameter MoE architecture, and for the first time officially validated its inference on Huawei's Ascend 950PR chip, marking a significant…
"A Fact A Day," an autonomous daily educational podcast that summarizes scientific and technological breakthroughs in about 60 seconds. The entire production process, from researching sources like MIT…
The author conducted a six-week benchmark comparing ten agentic AI frameworks—including LangGraph, CrewAI, and AutoGen—by running identical tasks across five evaluation dimensions: setup time, tool in…
At Google I/O 2026, Google announced that its AI Mode surpassed one billion monthly users within a year of launch, with query volume doubling every quarter. The milestone was accompanied by two major …
Snyk's agent-scan tool analyzes MCP servers by actually executing them from the user's configuration files, retrieving tool descriptions via the MCP protocol, and sending that data to a third-party AP…
Multi-agent AI orchestration fails without proper configuration, comparing it to Olympic runners in a relay race who don't know the order or handoff protocol. It details how different tools like Claud…
In an experiment detailed on the AfterPack blog, an AI agent (Claude Code) successfully deobfuscated two JavaScript files—one from an open-source obfuscator and one from a commercial enterprise produc…
An "agentic doc harness" for Obsidian that uses Claude Code skills to navigate notes through wikilinks rather than vector RAG retrieval, achieving higher scores on faithfulness, grounding, insight nov…
Aspect-oriented programming (AOP) principles for AI agents by using "hookflows" as an event bus to handle cross-cutting concerns like notifications. Instead of having each agent explicitly call a Tele…
On May 18, GitHub released a general availability feature allowing users to remotely control Copilot CLI sessions from mobile, web, or VS Code by scanning a QR code. The author independently published…
Llm-cacher**, an open-source Node.js caching library for LLM API calls, after realizing that repeated or similar prompts during testing and production lead to unnecessary costs. The library offers zer…
The article compares three small, fast LLMs—Gemini 3.5 Flash, Claude Haiku, and GPT-4o mini—for routine tasks like classification and code routing, emphasizing that cheap, consistent models are prefer…
Five key mistakes the author made while building Qioiper, a social media platform powered by seven AI systems. These errors included underestimating real-time latency for AI moderation, integrating CL…
Deploying applications powered by large language models (LLMs) introduces unique challenges compared to traditional software, as system behavior can drift unexpectedly due to changes in prompts, model…
The most significant but underrated announcement from Google I/O 2026 was the shift toward an "agentic web," where websites must be built for AI agents in addition to human users. The article highligh…
Technical architecture of WorCo's AI booking agent for vehicle rentals, which uses a separate Django REST API layer with MCP-compatible endpoints and Redis-backed "dialog passports" to maintain conver…