812 related articles
Product ReviewsHands-on testing Kimi K2 Thinking in Claude Code across text creation, programming, agent building, and full-stack apps. Comparing it to Claude Sonnet 4.5 and DeepSeek as a cost-effective AI coding alternative.
Product ReviewsIn-depth review of Claude Code 2.0's three core features: Usage monitoring, Rewind code rollback, and Ctrl+R prompt search, plus Sonnet 4.5 model and VS Code extension insights.
Product ReviewsIndependent developer benchmarks Claude Haiku 4.5 vs Sonnet in agentic coding using a multi-agent monitoring system, revealing speed gains, precision gaps, and the optimal model hierarchy strategy.
Product ReviewsIn-depth review of ByteDance's Trae 2.0 SOLO mode: from natural language requirements to one-click website deployment. Covers memory, self-repair upgrades, and impact on Manus and Genspark.
Tech FrontiersAnthropic releases Claude Haiku 4.5, a distilled version of Sonnet 4.5 with near-flagship coding performance, double the speed, and one-third the cost. Scores 73.3 on SWE-Bench, ideal for developers seeking cost-efficiency.
TutorialsStep-by-step guide to install ChatBox on mobile and configure API access to Claude models. Covers API key setup, host address, model parameters, and connection testing in under 5 minutes.
TutorialsComplete guide to Claude Code installation, DeepSeek V4 Pro integration, IDE setup, with a real full-stack project demo, Skill system, MCP configuration, and 10 AI programming tips.
TutorialsDeep dive into Claude Code's core advantages, installation setup, and fundamental differences from Cursor and TRAE. Covers model configuration for Chinese users, system requirements, and usage tips.
TutorialsDeep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
TutorialsDeep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
Expert OpinionsTypeScript expert Matt Pocock's open-source Skills repo earned 80K+ GitHub Stars, using TDD and Domain-Driven Design to solve AI programming's three biggest pain points.
Industry InsightsAI coding unicorn Windsurf, valued at $3B, was dismantled in one week — OpenAI deal collapsed, Google aquihired the team, Cognition grabbed the remains. A deep dive into AI startup moat fragility.
Tech FrontiersOpenAI acquires AI coding tool Windsurf for ~$3B in its largest deal ever. Deep analysis of the deal's context, impact on Cursor and GitHub Copilot, and OpenAI's strategy to build an AI coding ecosystem.
Product ReviewsIn-depth review of Hermes Agent's Web UI, Kanban board, desktop app, and Terminal UI dashboard. Compared with Claude Code, see how this free open-source AI Agent framework makes automation accessible.
Deep DivesDeep dive into Harness Engineering: the third-gen AI development paradigm. Learn its three-layer architecture for effectively harnessing AI Agents to complete complex development tasks.
TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
Product ReviewsDeep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
Deep DivesDeep dive into a trending open-source multi-agent framework with 98 expert agents, swarm orchestration, HNSW vector memory, autonomous learning, and Agent Federation for distributed collaboration.
Tech FrontiersOpenAI launches Daybreak, an AI security initiative using Codex Security agents to proactively discover zero-day vulnerabilities. A deep dive into its three-step defense workflow and competition with Anthropic's Claude Mythos.
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?