#C++ programming agent
118 related articles
·6 min
GPT-5.6 Three-Model Family Launch: A Complete Breakdown of Sol/Terra/Luna Capabilities and the Government Restriction Incident
OpenAI officially launches the GPT-5.6 family, including the Sol flagship, Terra balanced, and Luna lightweight models. Coding capabilities set a new industry benchmark, generating a Minecraft clone in 90 minutes—while OpenAI publicly opposes U.S. government release restrictions.
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·7 min
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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·6 min
10 Billion Tokens in Practice: An In-Depth Review of Codex's Long-Horizon Engineering Capabilities
Creator Ajiang burned 10B Tokens on Codex to migrate cc-haha from Tauri 2 to Electron. A deep dive into Codex's long-horizon engineering, Computer Use, costs, and practical advice for developers.
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·5 min
UE5.8 + Claude Code: A Complete Guide to AI Agents Directly Controlling Unreal Engine
UE5.8's official MCP plugin enables Claude Code and other AI Agents to directly control Blueprints, PCG graphs, materials, and level design. Complete setup and testing guide included.
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·2 min
Getting Started with LLMs: A Complete Roadmap from Zero to Practice
How to learn LLMs from scratch? This guide covers personalized learning paths for 3 types of learners, hardware tips (16GB RAM is enough), Python prep, and cloud GPU options.
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·3 min
Programmer's Guide to the AI Era: Application Development Is a Real Opportunity for Ordinary Developers
Too hard to become an algorithm engineer? Too basic to just use AI tools? This guide breaks down the three levels of AI adoption for programmers, with a focus on Agent development and large model engineering — including salaries, timelines, and window risks.
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·3 min
Programmers Pivoting to AI: Opportunities in Application Development and Pitfalls to Avoid
How can ordinary programmers break into AI? This guide breaks down the gap between algorithm engineers and AI app developers, covering Agent development, model fine-tuning, salary trends, and the three hidden risks behind the current opportunity window.
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·7 min
AI Agent Development: A Four-Stage Competency Model from 15K to 40K RMB Salary Growth Path
A detailed four-stage competency model for AI Agent development: from Python/RAG basics (15K) to workflow orchestration (20K), inference optimization (30K), and Agent cluster governance (40K RMB).
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·7 min
App Builder: Generate Runnable Applications from a Single Sentence — A New Paradigm in AI Programming Tools
App Builder generates single-file runnable apps from natural language, with real-time sandbox preview and conversational revision. Deep analysis of its workflow, architecture, limitations, and costs.
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·3 min
Java AI Framework Comparison: A Selection Guide for Spring AI, LangChain4J, and More
In-depth comparison of four Java AI frameworks — Spring AI, LangChain4J, DJL, and JBot AI — covering features, use cases, and ecosystem compatibility to guide your selection.
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·3 min
The Complete Guide to Installing and Configuring Claude Code: From Zero to Verified
Complete guide to installing Claude Code on macOS, Linux, and Windows, covering PATH config, glibc versions, SSL certificates, and first-run verification.
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·2 min
AI LLM Development Career Path: Four Stages from Zero to $60K+/Year
A four-stage learning path for AI LLM application development: from Python basics and RAG architecture to Agent cluster orchestration, helping developers transition into AI roles.
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·3 min
Essential for Embedded Development: Three Must-Have MCP Servers
Three essential MCP servers for embedded development: Debugger MCP, VS Code MCP Server, and Zephyr Official MCP — solving AI coding pain points like missing syntax checking and documentation access.
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·2 min
SWE-bench Multilingual: A Comprehensive Guide to the Multi-Language Programming Benchmark
A deep dive into SWE-bench Multilingual benchmark covering 9 programming languages, 300 real GitHub tasks, its design methodology, language distribution, evaluation metrics, and significance for AI coding assistants.
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·4 min
Vibe Coding in Practice: Three Strategies for Building an English Learning Game with Dramatically Different Results
Three controlled experiments compare pure Prompt, pre-prepared assets, and Godot engine strategies for Vibe Coding an English learning game — revealing dramatic differences in quality and Token cost.
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·3 min
Behind SpaceX's Acquisition of Cursor: Musk's True $60 Billion Ambition
SpaceX acquires Cursor parent Anysphere in a $60B all-stock deal. Musk's real play: an AI-driven software production line and invaluable real workflow data.
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·4 min
Claude Code Controlling Unreal Engine 5: Two Free Plugins for AI Game Development
Learn how to connect Claude Code to UE5 for free using Unreal Cloud and Vibe UE plugins. AI builds game levels, edits Blueprints, and adjusts materials.
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·4 min
Codewell Hands-On Review: Is This Terminal AI Coding Assistant with Nearly 40K GitHub Stars Actually Worth It?
Hands-on review of Codewell (formerly DeepSeek2E), the open-source terminal AI coding assistant with nearly 40K GitHub stars. Supports 25 LLM providers, local models at zero cost, and MIT license.
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·2 min
Generate a Game with One Sentence: Hands-On Review of AI Coding Tools — No Experience Required
Hands-on review of AI coding tools: generate a complete mini-game in one minute with a single sentence. Supports iterative refinement via natural language. Exploring zero-code development trends.
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·3 min
Godot + Cursor: Building a Survivors-like Game from Scratch to Steam — A Complete Record
How to use Cursor AI with Godot engine to build a Survivors-like game from scratch and publish on Steam. Covers Godot selection, Git setup, Cursor toolchain, and AI code generation workflow.
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