#code linting rules
19 related articles
·3 min
SeaTicket: An AI Agent That Automatically Resolves GitHub and Discord Issues
SeaTicket is an AI Agent that automatically resolves GitHub Issues and Discord questions. This article analyzes its architecture, use cases, challenges, and value for open-source maintenance.
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·3 min
SeaTicket: An AI Agent That Automatically Resolves GitHub and Discord Issues
SeaTicket is an AI Agent that automatically resolves GitHub Issues and Discord questions. This article analyzes its architecture, use cases, challenges, and value for open-source maintenance.
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·4 min
7 Core Components for Designing Long-Running AI Agents
A deep dive into the 7 core components for building long-running AI Agents: Goal, Evaluator, Verifier, Loop, Orchestration, Observability, and Memory.
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Deep Dives
Deep Dive into OpenAI's Official GPT-5…
·3 min
Deep Dive into OpenAI's Official GPT-5.6 Prompting Guide: The Shift from Manual to Automatic
A deep dive into OpenAI's official GPT-5.6 Sol prompting guide: conciseness-first, outcome-oriented design, autonomy boundaries, tool routing, and reasoning intensity tuning.
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·3 min
Biome's Missing ESLint Rule: A Community Voting Guide for padding-line-between-statements
Biome.js currently lacks the popular ESLint rule padding-line-between-statements. This article explains the rule's purpose and configuration, and explores how community voting can drive Biome's feature completeness and aid ESLint migration decisions.
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·6 min
The Seven Core Components of Building Long-Running AI Agents
An in-depth look at the seven core components for building long-running AI agents: Goal, Evaluator, Verifier, Outer Loop, Orchestration, Observability, and Memory. Master this control system for reliable autonomous agents.
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After Spending $85,000: Real-World Les…
·2 min
After Spending $85,000: Real-World Lessons and Cost Insights from Lovable's Agentic Coding Journey
Lovable spent $85K on API tokens scaling Agentic Coding. Key lessons: context management, model routing, circuit breakers, and ROI tracking for AI-driven development.
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·2 min
Complete Guide to Claude Code Hooks: Deterministic Automation Configuration Explained
Deep dive into Claude Code Hooks: covering five event types, auto-formatting, dangerous operation blocking, and team collaboration best practices for deterministic AI coding.
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·3 min
Claude Code Source Code Leak: 500,000 Lines of Code Reveal Core Multi-Agent Architecture Design
Anthropic accidentally leaked 500K+ lines of Claude Code TypeScript source via a Source Map misconfiguration, revealing its Coordinator multi-agent architecture, Kairos prediction system, and shadow rollback mechanism.
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·2 min
Vibe Coding in Practice: Replacing a ¥6,800/Year SaaS Platform for Under ¥1,000
A tech team used 26 hours of Vibe Coding to build a video membership platform, replacing a ¥6,800/year SaaS for under ¥1,000 in AI development costs.
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·4 min
Deep Dive into Pi Coding Agent: Why One Developer Abandoned Mainstream AI Tools to Build from Scratch
Veteran developer Mario Zechner dissects flaws in Cloud Code, OpenCode, and Cursor, then builds Pi — a minimalist coding Agent with just four tools and deep extensibility.
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·4 min
Codex Hands-On Tutorial: From Installation and Configuration to Enterprise-Level Project Development
A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.
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·4 min
OpenAI Engineer's Practice: Agent-Driven Development Methodology in the Era of Free Code
OpenAI engineer Ryan Lopopolo shares 9 months of pure AI agent coding practice, revealing core methodologies including prompt engineering, automated code review, and skill design in the new paradigm where code is free.
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Tutorials·2 min
Claude Code Hooks: The Ultimate Solution for Replacing Prompts with Deterministic Control
Deep dive into Claude Code Hooks: achieve deterministic control over code formatting, dangerous command blocking, and team config sharing via lifecycle events.
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Tutorials·1 min
CLAUDE.md: Making Your AI Coding Assistant Truly Understand Your Project
CLAUDE.md is a memory file for Claude Code that stores your project's tech stack, conventions, and architecture — so the AI understands your codebase from the start.
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Tutorials·3 min
Complete Guide to Claude Code GitHub Integration and Hooks
A detailed guide to Claude Code's GitHub integration for automated PR reviews and Issue fixes, plus the Hooks mechanism for injecting custom logic into AI workflows.
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Tutorials·3 min
Enterprise Claude Code Workflows: Five Core Components for Taming Million-Line Codebases
Deep dive into Anthropic's enterprise Claude Code deployment: CLAUDE.md layering, Hooks, Skills, Plugins, and MCP servers for million-line codebases.
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Tech Frontiers·1 min
DOCtor-RST 1.37.0 Released: A GitHub Action Tool for Automated RST Document Linting
DOCtor-RST 1.37.0 released — a GitHub Action tool for automated reStructuredText document linting, integrating into CI/CD pipelines to ensure RST doc quality.
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