2129 related articles
Tech FrontiersGitLab announces Act 2 restructuring: cutting 30% of operating countries, removing three management layers, splitting R&D into 60 autonomous teams. A deep dive into GitLab's Jevons Paradox bet on the AI agent era.
TutorialsComplete guide to Claude Code installation and configuration with usage notes for China, plus side-by-side comparison with Cursor, Copilot, and Trae to help developers choose the best AI coding assistant.
Product ReviewsIn-depth analysis of the 8,200-star GitHub project awesome-LLM-resources, covering multimodal generation, Agents, model training, MCP protocol, and more — a one-stop LLM learning guide.
Deep DivesDeep dive into Cursor's Security Review feature: two AI security agents for PR-level review and codebase vulnerability scanning, enabling shift-left security for enterprise DevSecOps.
Tech FrontiersSWE-bench opens evaluation environments, task sets, trajectories, and training recipes, dramatically lowering the barrier to AI coding agent development.
Tech FrontiersCursor launches automatic CI failure repair with an always-on AI Agent that monitors GitHub repos, analyzes CI logs, identifies root causes, and submits fix PRs.
Tech FrontiersCursor officially integrates with Microsoft Teams, enabling @Cursor AI agent invocation in channels for task delegation and code info retrieval. Analysis of features, strategy, and team impact.
Expert OpinionsDjango co-creator Simon Willison finds Vibe Coding and Agentic Engineering converging in practice. As AI tools grow reliable, where should engineers draw the line on trust and responsibility?
Tech FrontiersSWE-bench launches its official blog for in-depth content on AI coding evaluation, AI Agents, and toolchains—signaling a new phase of maturity and standardization in AI programming benchmarks.
Tech FrontiersQwen team leads open-source models on SWE-bench, demonstrating strong software engineering capabilities. This article analyzes SWE-bench standards, Qwen's progress, and the value of open-source AI coding tools.
Deep DivesDeep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
TutorialsDeep analysis of the GitHub project awesome-LLM-resources with 8,200+ Stars, covering multimodal AI, Agents, MCP protocol, model training, inference optimization, and coding assistants.
Tech FrontiersDeep dive into the Kimi-Writer open-source project — an AI novel writing Agent built on Kimi-K2-Thinking with deep reasoning, autonomous planning, and long-form narrative capabilities.
Product ReviewsSimon Willison built an iNaturalist observation gallery using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI clustering, Git Scraping automation, and AI-generated frontend.
Product ReviewsDeep dive into awesome-LLM-resources, a GitHub 8K-star project covering multimodal AI, AI Agents, MCP protocol, model training/inference, and AI coding tools — a one-stop LLM learning guide.
Deep DivesA deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
TutorialsComplete guide to building an AI digital human Agent, covering Agent, RAG, WebRTC, and Docker deployment with architecture design and engineering best practices.
Tech FrontiersOpenAI adds Computer Use to Codex, enabling AI agents to autonomously click, type, and operate across Mac apps in the background without taking user control.
Tech FrontiersDeep dive into OpenAI's Symphony: assigning an independent Codex agent to each task for multi-agent parallel programming. Explore its architecture, developer impact, and industry trends.
Deep DivesAnthropic's Advisor Strategy lets Sonnet execute tasks while Opus serves as advisor, cutting costs 12% while boosting SWE-Bench by 2.7 points. A new multi-model AI Agent paradigm explained.