104 related articles

CodeBurn is a privacy-first local tool for analyzing AI coding costs. It supports 31 tools including Claude Code, Cursor, and Codex, breaking down spending by model, project, and task to eliminate hidden waste.

Vibe Coding lets non-programmers build web apps using natural language and AI agents. Learn Claude Code, model selection, cost control via cache optimization, and agentic engineering.

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).
Developer's TTS API Selection Guide: O…
Deep comparison of TTS APIs: OpenAI, ElevenLabs, xAI Grok, and Cartesia — covering audio quality, latency, pricing, voice cloning policies, and AI Gateway architecture to help developers find the right fit.

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.

ARD (Agentic Resource Discovery) is an open spec by Google, Microsoft & 9 other tech giants, giving AI agents tool discovery. Learn its architecture, MCP synergy & security challenges.

Real-world test: DeepSeek API + Resonix coding tool consumed 150M tokens for just $1.10. Deep dive into DeepSeek pricing, Resonix's 95% cache hit rate, and honest comparison with GPT models.

Veteran developer Mario Zechner dissects flaws in Cloud Code, OpenCode, and Cursor, then builds Pi — a minimalist coding Agent with just four tools and deep extensibility.

Deep dive into how KV Cache reduces LLM API costs by 20x. From Transformer attention matrix multiplication overhead to prompt caching best practices, understand the fundamentals of AI inference cost optimization.

Step-by-step guide to installing Claude Code and configuring it with Chinese models like DeepSeek for low-cost vibe coding, including Node.js setup and CCSwitcher usage.

Multi-agent bills out of control? This article breaks down two core token cost pain points and provides 4 actionable documents to cut multi-agent task costs by 60-80%.

DeepSeek-Reasonix is an open-source AI coding agent optimized for DeepSeek models. With 12K stars in 3 days, it offers 5 reasoning levels, 4 execution modes, MCP integration, and smart caching that cuts long-session costs by 80%.

Learn how to build a DeepSeek V3 AI Agent from scratch with zero dependencies, covering Agent loop mechanics, token optimization, cache hit strategies, and bootstrapped development.

Deep dive into Firebase AI Logic: server-side prompt templates to prevent leakage, Cloud Function triggers, four-layer security defense, AI monitoring with context caching for cost control, and cross-platform hybrid inference.

Deep dive into Qwen3-Coder: 11 hours continuous operation, 10K+ lines of code, 1000+ calls. Explore its long-horizon agent loop architecture, reasoning persistence, thinking mode switching, and deployment on Fireworks.

A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.

Veteran game dev Mario tried every AI coding tool including Claude Code, found them all lacking, and built Pi — a minimalist, extensible coding agent framework centered on developer control.

Hands-on comparison of Claude Opus 4.8, GPT 5.5, MiniMax M3, DeepSeek V4 Pro, and Mimo 2.5 Pro across SVG drawing, 3D game generation, elevator scheduling, and real bug fixing.

Hands-on review of DeepSeek GUI's full agent workbench: KUN local runtime, cache-first architecture, task scheduler, and Token cost advantages for developers.

Step-by-step guide to applying for a DeepSeek API key, configuring it, and analyzing real costs. 38M tokens for just ¥1.9 with ~98% cache hit rate.