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TutorialsMiniMax M2.7 is now available on NVIDIA's free endpoint. 230B parameter MoE architecture with 204.8K context. Learn how to connect via Kilo CLI for zero-cost AI coding.
TutorialsStep-by-step guide using Google AI Studio with Gemini 3.1 Pro to generate a professional responsive landing page with SVG animations and deploy it live for free via GitHub + Vercel—zero code required.
TutorialsGitNexus is a 36K-star open-source tool that uses knowledge graphs to transform codebases into structured relationship networks, enabling AI coding tools to precisely retrieve code info on demand.
Industry InsightsAnthropic releases Claude Opus 4.7 with ~20% coding Agent improvement at unchanged pricing. Compared to GPT, Gemini, and Chinese models like GLM, Opus 4.7 leads decisively in coding.
Product ReviewsDeep dive into DeepSeek V4's three core innovations: Hybrid Attention for million-token context, Manifold-Constrained Hyperconnections, and MOM Optimizer. Pro model rivals Claude Opus 4.6 at 1/7 the cost.
TutorialsLearn how to combine DeepSeek V4 with Claude Code to build a cost-effective AI programming workflow. Covers setup, task layering, and real demos—cutting AI coding costs by 76%+.
Tech FrontiersA detailed Cursor AI programming tutorial featuring a Xiaohongshu-style WeChat mini program project, covering requirements analysis to full implementation with Claude 3.7.
Tech FrontiersInception Labs releases Mercury 2, a diffusion-based language model achieving 1000+ tokens/sec with strong reasoning, challenging autoregressive architectures.
Tech FrontiersThis week in AI: OpenAI's next-gen base model Spud (GPT-6) targets Spring 2026, Anthropic builds persistent agent Conway, Cursor 3 rebuilds the IDE for agents, DeepSeek V4 runs natively on Huawei chips, and Qwen 3.6 and Gemma 4 lead open-source.
Tech FrontiersPi AutoResearch is a coding plugin based on Karpathy's Auto Research concept that auto-generates optimization plans, modifies code, runs tests, and logs results for fully automated performance tuning.
Tech FrontiersA systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
Deep DivesDeep dive into Replit's dual-pillar AI Agent evaluation framework, including open-source ByteBench benchmark, Telescope semantic clustering tool, and A/B test-driven continuous iteration methodology.
TutorialsLearn how to use AI website building tools to earn money freelancing with no code. Includes a real bakery website case study, top tool recommendations, and side hustle strategies.
TutorialsLearn how to build a free personal website using the AI tool Trae and GitHub Pages with zero coding. Generate and deploy your site through natural language conversation.
Product ReviewsHands-on test using Trae AI for STM32 MCU development: from CubeMX project setup to LED blink, code compiles first try with zero errors. Full workflow and capability analysis.
Product ReviewsIn-depth comparison of ByteDance's Trae, Alibaba's Qoder, and Tencent's CodeBuddy—covering core capabilities, use cases, and target users with detailed analysis to help you pick the best AI coding assistant.
TutorialsThree multi-IDE collaboration strategies for EasyClick development: UI/script separation, plugin modules, and modular splitting. Combine Trae, Lingma, Cursor to break single-IDE limitations.
TutorialsStarting from the three core characteristics of LLMs, this article systematically covers foundational knowledge needed for Qwen3-0.6B fine-tuning, including model comparisons, fine-tuning value analysis, and the complete learning path.
TutorialsA detailed guide to Claude Code Skill Creator's complete workflow: from writing requirements and generating skills to natural language iteration and old skill cleanup for test automation.
TutorialsHow to use the Superpowers Writing Plans skill correctly—identify AI blind spots, supply API docs, and use tiered models to cut Token costs in half from the planning stage.