#Agentic development
673 related articles
·5 min
Gemini API in Practice: Building AI Agents with Files
Official Google hands-on: go from idea to production fast with AI Studio, and build AI Agents with the now-GA Interactions API. The core idea: an Agent is just a composition of files—Markdown plus a few scripts, no complex Python loops needed.
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·3 min
Got Codex but Don't Know What to Build? Use 'Friction Point Thinking' to Find Real Needs
Installed Codex or Claude Code but don't know what to build? This hands-on browser extension case reveals the core methodology of the AI coding era: start from your own and others' 'friction points' to find worthwhile projects.
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·3 min
Installed Codex But Don't Know What to Build? Find Real Needs with the "Friction Point" Mindset
Installed Codex or Claude Code but don't know what to build? This real-world browser extension case reveals the core methodology of the AI coding era: start from your own and others' "friction points" to find projects worth doing.
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·3 min
OpenAI Releases GPT-5.6 and ChatGPT Work: The Era of Autonomous AI Has Arrived
OpenAI launches GPT-5.6 (Sol, Terra, Luna), ChatGPT Work, a new desktop app, and Sites hosting. AI evolves from a Q&A tool into an autonomous work partner for finance, file management, and more.
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·3 min
The Rise of General AI: Breakthroughs in Mathematical Reasoning and Competitive Programming
Frontier AI is going general: costs are dropping, general models are beating specialized ones in math and competitive programming, and multi-agent workflows are maturing fast.
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·4 min
Do Cursor Promo Codes Still Work? A Developer's Guide to Saving on AI Coding Tools
Are Cursor referral codes and discount codes still valid? This guide analyzes Cursor's pricing model, promotional policy trends, and practical savings strategies including annual billing, education discounts, and competitor comparisons.
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GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, From CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard, with Instatic and Chat2DB embedding AI deeply into CMS and database clients.
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GitHub Daily · July 24: Agentic Tools …
·3 min
GitHub Daily · July 24: Agentic Tools Blossom Everywhere, from CMS to Databases Embracing AI
GitHub Trending July 24: Agentic capabilities go from concept to standard feature. Instatic and Chat2DB deeply integrate AI into CMS and database clients, while dive-into-llms remains the go-to Chinese LLM tutorial.
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·5 min
From Vibe Coding to AI Engineering: A Complete Guide to Enterprise-Grade Development
In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.
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·2 min
GPT-5.6 Three-Model Showdown: Sol vs Terra vs Luna — Which One Should You Pick?
OpenAI GPT-5.6 launches Sol, Terra, and Luna simultaneously. We compare benchmarks and real-world coding tests to help you choose the right model for your needs.
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The Rise of Claude Skills Ecosystem: A…
·2 min
The Rise of Claude Skills Ecosystem: A Modular New Paradigm for Custom AI Workflows
Explore the Claude Skills ecosystem: from prompt engineering to modular skills, covering skill libraries, MCP integrations, and dev frameworks. The awesome-claude-skills list has 68K+ Stars.
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·7 min
Qwen3 235B A22B in Practice: A 2.4-Trillion-Parameter Open Model Surpasses Claude Opus
Hands-on with Alibaba Tongyi Qianwen's strongest Qwen3: a 2.4-trillion-parameter open weight model scoring 81.25% on KingBench, ranking second and beating Claude Opus 4.8 with perfect scores in game dev, math, and agent tasks.
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·2 min
Getting Started with ChatGPT Codex: Key Differences Between an AI Coding Agent and ChatGPT
Codex is OpenAI's AI coding agent that autonomously reads code, fixes bugs, and runs tests — far beyond ChatGPT's code generation. Learn the key differences.
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·4 min
Vibe Coding vs. AI-Assisted Engineering: An In-Depth Look at Enterprise-Level Development
Can AI coding tools let non-developers replace programmers? This deep dive examines Vibe Coding's real limits, compares Claude Code vs. Codex, and reveals the methodology behind enterprise-grade AI-assisted software engineering.
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·3 min
LangChain v1.3 Hands-On Tutorial: Deep Dive into Agents, RAG, and Local Model Deployment
Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.
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·2 min
Agent A1 Open Source: 35B MoE Local Inference Speed Test & Deployment Guide
Agent A1 is a 35B MoE open-source model from Shanghai's Intern Science, activating only 3B params. Hits 95 tok/s on M4 Mac Studio. Supports 256K context, tool calling, and free local deployment via Ollama.
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·5 min
DeepSeek V4 Enters Grayscale Testing, Grok 5.0 Ready to Launch | Latest AI Model Developments
This AI Daily covers five sectors: DeepSeek V4 reportedly enters grayscale testing with improved chain-of-thought; Musk previews Grok 4.6 and 5.0 with 2T parameters; Intern-S2 open-source model beats Claude Opus 4.8; xAI builds 2000MW Colossus cluster; NVIDIA RoboTTT breaks long-horizon robotics barriers.
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Open Deep Research: A Complete Guide t…
·2 min
Open Deep Research: A Complete Guide to LangChain's Open-Source AI Research Agent
A deep dive into LangChain's open-source project open_deep_research: an AI deep research agent built on LangGraph, supporting flexible multi-model and multi-search tool configuration, with 12,000+ stars.
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·2 min
Claude Sonnet 5 Leaked: Near-Opus Performance at a Fraction of the Price
Claude Sonnet 5 leak: rumored input price of just $2/million tokens with near-Opus 4.8 performance. We break down the evidence, pricing, and what it means for developers.
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·3 min
Claude Sonnet 5 Deep Dive: Impressive Benchmarks, Disappointing Reality — Stick with OPUS 4.8
Anthropic's Claude Sonnet 5 claims near-OPUS 4.8 performance at lower cost. Real-world tests reveal hidden tokenizer costs, weak creative output, and only 13th place on Cursor rankings.
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