A tinkering programmer and author of "Spring Cloud Microservices in Action"
The author, a heavy token consumer, compares the new Agent Plan with existing Coding Plans, highlighting its multi‑modal model suite, unified AFP billing, detailed pricing tiers, step‑by‑step configuration for Claude Code and SoloEnt, and the creation of an OctaFuse resource pool for unified access.
This guide explains how to construct production‑ready AI agent systems by balancing cost, latency, and accuracy, offering a decision framework, concrete techniques such as planner‑executor architecture, chain‑of‑thought prompting, verification agents, parallel agents, and file‑system state management, plus real‑world examples and impact metrics.
This guide reveals five powerful techniques—treating CLAUDE.md as a living document, keeping it concise, modularizing for large projects, respecting case-sensitive filenames, and letting Claude audit its own instructions—to transform a simple config file into a dynamic, evolving project knowledge repository.
This guide shares eight practical rules—from planning prompts to configuring CLAUDE.md and managing context—to help developers use Claude effectively, avoid technical debt, and build automated, high‑quality code workflows.
This guide outlines five practical strategies—planning before coding, smart context management, custom rules and skills, parallel model execution, and treating the AI as a collaborator—to help developers harness AI coding assistants like Cursor for faster, higher‑quality software development.
This article shares five surprising, high‑impact lessons from Anthropic on building robust AI agent evaluation suites, covering early failure‑case collections, recognizing clever “failures,” focusing on outcomes over process, choosing the right success metrics, and the irreplaceable value of human review.
This article explains how the TOON data‑serialization format reduces token usage and improves accuracy for large language model calls compared with traditional JSON, provides benchmark results, outlines scenarios where TOON is advantageous or unsuitable, and shows Java integration examples.
This article explains how spec‑driven development transforms AI‑assisted coding from exploratory, chat‑based experiments into a reliable, production‑grade workflow by using formal specifications as the source of truth, systematic validation, and a structured tool ecosystem to ensure quality, security, and maintainability.
This article provides a comprehensive guide to using Claude Code, covering daily workflows, the crucial CLAUDE.md file, custom slash commands, sub‑agents, hooks, planning mode, skills, MCP, the SDK, GitHub Actions, and key configuration settings to help developers harness AI‑driven coding efficiently.
This guide walks you through building a Spring Boot application, registering a UnifiedTTS API key, configuring MiniMax or CosyVoice models, implementing the service layer, running unit tests, and handling production concerns to achieve high‑quality text‑to‑speech synthesis without changing client code.
