70 related articles

A detailed guide on building an automated enterprise regulatory risk alert system using MCP protocol and Agent Skill, covering data collection, six evidence thresholds, applicability judgment, actionable measures, and delivery via Feishu/email.

Deep dive into how developer Theo optimizes AI coding agents through AGENTS.md, CLAUDE.md, and Skills files for Claude Code and Codex, covering global config, skill reuse, example-driven teaching, and data-driven optimization.

AI coding tools are lowering software development barriers, enabling more people to become builders. This article analyzes SaaS disruption, agent-driven internet, personal brand rise, and how AI reshapes the future of software.

Argos is a browser AI agent that automatically performs real tasks like clicking and filling forms within your logged-in accounts. It supports Gmail, Google Docs, GitHub, and more with local data processing.

AI coding assistants excel at code generation, but a huge gap remains between writing code and deployment. This article analyzes the core challenges AI Agents face in deployment and explores practical solutions like GitOps and sandboxed execution.

From USS Lincoln sailor exhaustion to the core paradox of AI automation: technology efficiency scales infinitely, but human limits remain constant. Exploring on-call fatigue, cognitive load, and system reliability.

Should AI Agent reliability verification be built in-house or outsourced? An open-source author's candid question sparks industry reflection on eval frameworks.

An AI agent deemed a pygame-ce maintainer 'not an authoritative source,' sparking debate about trust, accountability, and governance when AI enters open source collaboration.

HyperProbe is a YC S26 AI debugging agent that performs read-only debugging in production, helping engineers quickly identify root causes. Analysis of its design philosophy and market positioning.

Poolside announces major Laguna S 2.1 upgrade with 10x rate limits, 250B daily tokens on OpenRouter, 1M context dedicated deployment, and integration with cline, opencode, and other AI coding agents.

What happens when AI agents are tasked with running a real company? This analysis examines agent performance, critical shortcomings, and practical enterprise deployment advice.

Orca-Bench is a benchmark for evaluating AI agents' operational capabilities, testing LLMs on fault diagnosis, multi-tool orchestration, and risk decisions in simulated Oncall scenarios.

Pally is an AI assistant natively integrated with iMessage and WhatsApp that monitors your inbox, alerts you to important messages, and auto-replies in your tone.

Deep analysis of how Cekura's five-step closed loop—scenario simulation, failure capture, root cause diagnosis, automatic prompt rewriting, and regression verification—solves voice AI agent quality assurance in production.

Local LLM crashing in Agent frameworks? The issue may be num_gpu set too high. Learn what num_gpu really controls (GPU layer offloading, not GPU count) and how to tune it for stable Agent performance.

As AI hype sweeps the globe, have our expectations far exceeded reality? This article examines the demo-vs-production gap, self-reinforcing capital narratives, and cognitive biases to provide a sober framework for judging AI's true utility.

A deep dive into HuggingFace's speech-to-speech open-source project, covering its modular VAD, STT, LLM, and TTS pipeline architecture and the advantages of local deployment for privacy, cost, and latency.

Microsoft open-sources agent-governance-toolkit covering all OWASP Agentic Top 10 risks through policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for production AI Agent deployment.

Exposing the truth behind viral Codex 5-minute website videos: creators aren't building original sites with AI—they're copying shared prompts or scraping others' work. Learn AI coding tools' real limits.

Exposing the truth behind viral Codex 5-minute website videos: creators aren't building original sites with AI — they're copying shared prompts or scraping others' work.