33 related articles

How Boundary built a self-healing AI Agent loop that automatically writes BAML code, discovers bugs, and generates fix PRs — a practical software factory with deduplication, human-in-the-loop leverage points, and extensible multi-loop design.

Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to go from demo to production.

Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to reach production. Based on Scott Moss's workshop.

A step-by-step guide to building a Python student management system from scratch using the AI editor Cursor with Claude. Covers Agent, Ask, and Manual modes, model selection, and the full workflow.
AI Agent Autonomous Repair Systems: Wh…
When AI Agents are authorized to autonomously repair production systems, what real risks lurk behind "pray-and-operate"? A deep dive into loss-of-control dangers and practical safety principles including least privilege, human-in-the-loop, and rollback.
Designing APIs for AI Agents: A Paradi…
When AI Agents become the primary API callers, traditional interface design assumptions break down. This article explores agent-friendly API design principles and how MCP is driving this paradigm shift.

awman's --dynamic flag enables cross-framework dynamic workflows with multi-model collaboration. Explore its leader agent architecture, shared context design, and auto fault-tolerance mechanisms.

Test engineers: use the AI Skill 'Doc-based Test Case Generator' to auto-generate structured test cases from PRDs or screenshots, covering boundary values, negative scenarios, and more.

Agent loops burning money, bills spiking unexpectedly? This article breaks down a traceable multi-agent system covering loop detection, behavior classification, cost prediction, and self-healing.

How to handle Agent tool call failures? Learn a 3-tier fault governance system: exponential backoff, self-correction loops, and human-in-the-loop for high-risk failures.

Torn over your capstone topic? This article analyzes the academic value, feasibility, and innovation potential of a Multi-agent Debate system to help AIML students decide.

Unsloth v0.1.481-beta adds full DeepSeek-V4-Flash support, NVFP4/FP8/imatrix GGUF quantized export, 1.3x faster GRPO, 3-5x faster MoE training, and an OpenAI-compatible API service in Studio.

Alibaba Cloud vs Volcano Engine TTS: why "I want both" is the mature engineering decision. Dual-engine routing design, priority trap debugging, and vibecoding-powered implementation.

Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.

UE5.8's official MCP plugin enables Claude Code and other AI Agents to directly control Blueprints, PCG graphs, materials, and level design. Complete setup and testing guide included.

A roundup of 12 trending open-source AI agent projects on GitHub, covering video generation, agent frameworks, skill packs, code engines, security scanning, and voice processing.

Deep dive into n8n, the open-source workflow automation platform: 400+ integrations, native AI capabilities, and dual code/visual modes. Covers deployment, AI Agents, community templates, and more.

Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.

In-depth analysis of Vibe Coding methodology covering Claude Code, Cursor, and Codex tool strategies, full development workflow tips, and four key principles for avoiding pitfalls in complex systems.

A continuously updated tracker of AI-driven layoffs at tech companies, analyzing the most affected roles and offering career adaptation strategies for professionals.