#loop contract
302 related articles
·3 min
Spec-Driven Development: Moving Beyond Vibe Coding for More Reliable AI-Generated Code
Spec-Driven Development solves inconsistent AI coding quality: generate requirements and design docs before writing code, giving AI a clear blueprint. Covers core workflow, three key practices, and AWS's Kiro tool.
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·4 min
Adding a 'Repair Layer' to Open-Source Models: How DeepSeek Can Outperform Claude Opus
Independent developer Ahmad Awais found that open-source LLM failures stem from Tool Calling bugs, not model capability. A deterministic repair layer + repair hints can make DeepSeek outperform Claude Opus.
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·3 min
Why Claude Code Ditched RAG for Grep: The Engineering Logic Behind the Decision
Why did Claude Code abandon RAG for Grep? Breaking down the three root causes — undiagnosability, the multiplication effect, and index staleness — behind the shift to Agentic Search.
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·4 min
Spotify's AI in Practice: How 3,000 Engineers Are Reinventing R&D with Agents
Spotify's real engineering story: 99% of engineers use AI coding tools, PR frequency up 76%, 2.5M automated maintenance PRs merged. How Honk, FleetShift, and Backstage work together to drive AI Agent adoption at scale.
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·2 min
The Real Risk of AI Agent Deployment: Not Going Rogue, But Being Too Obedient
A real AI Agent customer service failure reveals: the biggest deployment risk isn't losing control — it's faithfully executing a poorly defined goal. A deep dive into Agent risks and boundary management.
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·4 min
Tencent Marvis Hands-On: How Multi-Agent AI Takes Over Your Computer
Deep dive into Tencent's Marvis AI agent: multi-agent architecture, intelligent file organization, document analysis, cross-device sync, and local privacy mode explained.
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·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·6 min
Agent Studio: A Unified Platform for Authoring AI Roles and Skills
Agent Studio unifies AI Agent role definition (Subagents) and Skills on one platform, enabling coordinated orchestration through a shared MCP endpoint, progressive disclosure, and moderated community publishing.
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·7 min
Cloudflare Natively Supports the x402 Protocol: How Micropayments Are Reshaping Web Monetization
Cloudflare announces native x402 HTTP payment protocol support, enabling developers to charge stablecoin micropayments for API calls without accounts or keys. Deep dive into how x402 works and its impact on AI Agent economics.
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·7 min
Linked Context: How AI Agent Skills Can Point to the Entire Open Web
Deep dive into Skill Studio's "Linked Context" mechanism—skill files become real-time URL fetches instead of pre-loaded copies, extending AI Agent progressive disclosure to the entire open web.
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·3 min
Complete Guide to Codex /goal Command: Making AI Execute Long Tasks Without Cutting Corners
Deep dive into OpenAI Codex's /goal slash command: four core mechanisms that prevent AI "fake completion," enforce stop conditions, and support task resumption. Includes full prompt structure and permission configuration for complex automation tasks.
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Industry Insights·3 min
OpenAI's Internal Codex Usage Surges 56x — AI Coding Is Eating Everything
OpenAI reveals internal Codex usage data: Research up 56x, Customer Support 32x, Engineering 27x, Legal 13x since Nov 2025. AI coding tools are penetrating every department faster than expected.
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Six Practical AI Automation Agent Use …
·3 min
Six Practical AI Automation Agent Use Cases: From Project Management to Sales Support
An in-depth analysis of six AI Agent automation tools covering project management, information aggregation, brand monitoring, sales support, file organization, and meeting prep for real-world workflows.
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·3 min
Complete Guide to Harness Engineering: The Three-Layer Architecture for AI Engineering Development
A deep dive into Harness Engineering's core architecture covering the Information, Constraint, and Automation layers to systematically constrain and verify AI Agent output for reliable development.
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·3 min
What Are Agent Skills? A Deep Dive into the New Paradigm for AI Agent Decision-Making
Deep dive into Agent Skills: how they solve React Agent pain points through on-demand loading and capability modularization, improving decision precision for production-ready enterprise AI Agents.
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·2 min
When Millions of AI Agents Meet: A Deep Dive into Distributed Intelligence Collaboration and Security Challenges
Deep dive into AI Agent era challenges: multi-Agent collaboration, delegation mechanisms, agentic traps, cybersecurity threats, cognitive monoculture risks, and distributed intelligence as a new path to AGI.
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·3 min
AI Large Language Model Zero-to-Hero Systematic Tutorial: A Complete Guide from Basics to Practice
A comprehensive 748-episode AI LLM tutorial covering Transformer architecture, Prompt Engineering, RAG, Agent, fine-tuning, and enterprise projects like AI customer service and knowledge bases.
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·3 min
Agent Skills Architecture Explained: A New Paradigm for Modular AI Agent Development
A deep dive into Agent Skills architecture: core concepts, components, and how it works. Clarifies common misconceptions about Skills vs. MCP, and compares Skills with Multi-Agent architecture.
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·3 min
Claude Code vs. Codex: A Practical Guide to Enterprise-Grade AI Programming
A deep dive into enterprise AI programming with Claude Code and Codex — from Vibe Coding limitations to SuperPower engineering workflows, model selection, and AI aggregation platforms.
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·4 min
Codex Hands-On Tutorial: A Complete Guide from Installation to Enterprise-Level AI Programming
A complete hands-on guide to OpenAI Codex covering installation, CLI interaction, agents.md setup, MCP protocol integration, Rules governance, and building a RAG intelligent customer service system.
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