#bug fixing
768 related articles
·3 min
AI Autonomously Fixing Bugs: A Practical Methodology for Data Loop-Driven Agent Self-Iteration
Learn how AI Agents autonomously discover bugs, fix code, and verify results through real cases. Deep dive into data loop design principles and Agent self-iteration methodology.
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·2 min
Superlog Responder: A Detailed Look at the Open-Source AI Auto Bug-Fixing Agent
Superlog Responder is a free open-source AI bug-fixing agent that integrates with Sentry and Datadog alerts to automatically perform root cause analysis and generate mergeable PRs.
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·2 min
GitHub Restructures Its Bug Bounty Program: A Strategic Shift from Fixing Bugs to Improving Researcher Experience
GitHub restructures its Bug Bounty Program, shifting focus from fixing vulnerabilities to improving researcher collaboration experience. Explore the key changes and industry implications.
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How Fixing Three Bugs Made Qwen3.5-122…
·3 min
How Fixing Three Bugs Made Qwen3.5-122B Run Reliably on Mac Studio
A developer fixed three critical bugs to make Qwen3.5-122B run reliably as a daily driver on Mac Studio. Explore memory management, inference stability, and quantization precision.
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Tutorials·2 min
Simon Willison's Full Process of Fixing a Datasette Map Bug with GPT-5.5 + Codex
Datasette creator Simon Willison debugged an OpenStreetMap display issue, uncovering CAPTCHA and Referrer-Policy conflicts, then built a plugin fix using GPT-5.5 and Codex.
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Tech Frontiers·3 min
LLM 0.32a1 Released: Fixing the SQLite Storage Bug for Tool-Calling Conversations
Simon Willison releases LLM CLI tool v0.32a1, fixing a data integrity bug when reloading tool-calling conversations from SQLite. Details on the fix, impact, and upgrade steps.
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·4 min
Getting Started with Claude Code: A Complete Guide from Installation to the Fifth Stage of AI Programming
A deep dive into Claude Code's positioning, installation, and usage tips, covering the five stages of AI programming evolution and how developers can build competitive advantages in the AI era.
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·3 min
JetBrains Open-Sources go-modern-guidelines: Teaching AI to Write Modern Go Code
JetBrains open-sources go-modern-guidelines to help AI coding assistants generate modern Go code following best practices for generics, slog, error handling, and more.
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·3 min
Hands-On with Perplexity Local Inference: Flexible Model Switching on DGX Spark
Hands-on testing of Perplexity's local inference on NVIDIA DGX Spark: deployment workflow, resource usage, inference speed, and switching between cloud and Ollama models via custom endpoints.
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·3 min
Getting Started with Claude Code: Why It's the Most Powerful AI Coding Assistant
Deep dive into Claude Code's core advantages vs Cursor, Trae, and Copilot. Learn how its full-project context understanding and auto-debugging make it the top AI coding assistant.
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·4 min
The Three Root Causes of LLM Tool Calling Failures: Value, Condition, and Intent
Analyze the three root causes of LLM tool calling failures: Value, Condition, and Intent. A structured debugging framework to help agent developers diagnose and fix issues efficiently.
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·4 min
The 5-Step AI Programming Method: A Complete Workflow from Requirements to Delivery
Learn the 5-step AI programming workflow: environment setup, product design, technical design, implementation, and manual verification for reliable software delivery.
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·1 min
The AI Alignment Dilemma: Why Safety Measures Are Always Playing Catch-Up with Model Capabilities
Deep dive into the core AI alignment dilemma: as LLMs grow more knowledgeable, persistent, and intelligent, why do safety guardrails always lag behind?
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·1 min
Tencent's Hy4 Open-Source Model: 770B Parameters Built for Long-Horizon Agentic Tasks
Tencent launches Hy4 Preview, an open-source MoE LLM with 770B total parameters, 49B active parameters, and 1M token context window for long-horizon agentic tasks.
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·5 min
AI Agent Skill Stack Fully Decoded: Building Professional Agents with 16 Pluggable Skills
Deep dive into 16 practical AI Agent Skills covering code review, evals, frontend design, communication, memory, and automation — revealing the modular methodology behind Agent engineering.
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·5 min
Tencent Hunyuan WorldClaw: Generate Editable 3D Worlds from a Single Sentence
Tencent Hunyuan's WorldClaw generates explorable, editable 3D worlds from text. Deep dive into its multi-model Agent architecture, AI-native game engines, AI pharma funding, and data strategy shifts.
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·3 min
Getting Started with Coze: A Complete Guide to the Three Types of AI Agent Tools
A complete guide to three types of AI Agent tools: building platforms (Coze Studio, Dify), agent software (Coze, Cloud Code), and dev frameworks (LangChain). Find the right tool for your skill level.
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·3 min
Gemini Flash vs Pro Real-World Test: Can Being 3x Faster Really Replace It?
Real-world testing of Gemini Flash vs Pro across three projects: racing game, subscription app, and luxury website. Flash is 3x faster and cheaper, but Pro remains essential for production accuracy.
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·3 min
Gemini Responses Starting with "Sff": When AI's Internal Reasoning Accidentally Leaks
Google Gemini unexpectedly displays "Sff" and internal reasoning text in responses. This article explains the technical causes, including chain-of-thought leaks and delimiter parsing failures.
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·3 min
AI Slop PRs Are Drowning Open Source Projects, and Maintainers Are Burning Out
A flood of AI-generated low-quality PRs is overwhelming open source projects. This article analyzes the AI slop phenomenon, its harm to the ecosystem, and community countermeasures.
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