Reading
This article introduces Kaola-Workflow, a six-stage development workflow framework specifically designed for Claude Code. It enables end-to-end automation from requirement research to code delivery through multi-agent orchestration, supporting session recovery and cross-context state management.
Section 01
This article introduces Kaola-Workflow, a six-stage development workflow framework specifically designed for Claude Code. It enables end-to-end automation from requirement research to code delivery through multi-agent orchestration, supporting session recovery and cross-context state management.
Section 02
Current mainstream AI coding assistants (such as Claude Code, GitHub Copilot) can generate code snippets, but still face many challenges in complex project development:
Kaola-Workflow is born to solve these problems. It combines traditional software engineering methodology with AI capabilities to create a reproducible, auditable, and recoverable intelligent development process.
Section 03
Kaola-Workflow divides the entire development process into six clear stages, each with distinct input, output, and acceptance criteria:
Section 04
In this stage, the system uses multiple specialized agents working in parallel to comprehensively collect project-related information:
The core output of this stage is a detailed technical research report, providing factual basis for subsequent decisions.
Section 05
Based on the information collected in the first stage, the Planning Agent (planner) starts working. This stage uses high-level models (such as Claude Opus) for in-depth thinking, with outputs including:
The planning stage emphasizes "think clearly before acting" to avoid subsequent rework.
Section 06
The Architect Agent (code-architect) converts high-level design into executable technical solutions, with outputs including:
Section 07
This is the most workload-intensive stage. The TDD Guide Agent (tdd-guide) executes according to the Test-Driven Development (TDD) process:
Each task has an independent TDD cycle to ensure code quality. When build errors occur, a dedicated Build Error Resolver Agent (build-error-resolver) intervenes to handle them.
Section 08
The Code Review Agent (code-reviewer) and Security Review Agent (security-reviewer) work in parallel, with inspection contents including:
The review results are output in the form of a structured report, marking the severity of issues and repair suggestions.
Keep going with more reads from the same topic.
Nornir MCP Server is an enterprise-level server based on the Model Context Protocol (MCP). It seamlessly integrates large language models (such as Claude) with the Nornir network automation framework, supporting natural language orchestration for multi-vendor network devices (Cisco, Arista, Juniper, etc.), and providing production-grade features like a dual-engine architecture (NAPALM + Netmiko), intelligent filtering, and a secure sandbox.
Bibliothèque Française LLM is a structured indexing and annotation project for French public domain literature designed specifically for large language models (LLMs). It integrates multiple authoritative sources such as DraCor, Common Corpus, and Wikisource, providing metadata indexing categorized by genre, author, and era, as well as in-depth annotations for dramatic texts (including characters, lines, stage directions, etc.). Its aim is to enable LLMs to efficiently read and understand classic French literary works.
Splinter is a minimalist, high-performance key-value (KV) and vector storage system enabling zero-latency inter-process communication via shared memory and atomic operations. With only 766 lines of core code, it supports millions of operations per second and 768-dimensional vector storage, offering a new architectural approach for local LLM inference and data-intensive applications.
Folkering OS is the world's first AI-native bare-metal operating system, entirely written in Rust no_std without relying on Linux, POSIX, or libc. It can generate commands from scratch, compile them into WASM, and run them in 10 seconds, achieving true self-evolution.