#Ollama Claude Code
280 related articles
·4 min
Spring AI 2.0 Explained: Five Key Updates Ushering in the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.
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·4 min
Spring AI 2.0: Five Key Updates Explained — Stepping into the Agent Era
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.
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Alibaba Open-Sources Code Review Tool …
·5 min
Alibaba Open-Sources Code Review Tool open-code-review: Deterministic Pipeline + LLM Dual-Engine Analysis
Alibaba open-sources code review tool open-code-review, using a hybrid architecture of deterministic rule pipelines and LLM Agents. Supports line-level comments, OpenAI/Anthropic APIs, battle-tested at Alibaba scale, written in Go, fully free and open-source.
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·4 min
Spring AI 1.0 Practical Guide: A Java Developer's Fast Track to Building AI Applications
Spring AI 1.0 is here — Java developers can now build AI apps without switching to Python. This guide covers LLM integration, RAG, intelligent customer service, and Agent patterns for enterprise deployment.
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·8 min
LangChain Crash Course: A Complete Roadmap from Zero to Agent Development
A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.
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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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·3 min
Dify 1.8 Complete Beginner's Guide: Build 20+ AI Apps Fast
A complete Dify 1.8 guide covering 3 deployment methods (Docker/cloud/source), MySQL integration, 5 app types (Chatbot/Agent/Workflow), model selection, and publishing strategies.
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·2 min
Daedalus: A Deep Dive into the Ollama-Based Local AI Engineering Runtime
Daedalus is an open-source local AI engineering runtime built on Ollama, covering architecture, debugging, and security. Zero token costs, full privacy, integrates with Claude Code and OpenCode.
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·3 min
Free Claude Opus 4.6 Access: Complete Guide to Connecting Antigravity via CLIProxyAPI
Use CLIProxyAPI to connect Antigravity's free models to Claude Code, Cline, and more. Access Claude Opus 4.6 Thinking and Gemini 3 Pro at zero cost. Full setup guide included.
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·2 min
Free GPT Access in China? The Truth and Risks Behind AI Aggregator Platforms
Are 'free, no-VPN' AI aggregator platforms in China trustworthy? We break down how API relay platforms work, their data risks, hidden costs, and safer alternatives.
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Open Interpreter: A Local Coding Agent…
·2 min
Open Interpreter: A Local Coding Agent Built for Low-Cost Models
Open Interpreter is an open-source coding agent optimized for low-cost and local models like Llama and Qwen. 65K+ GitHub Stars, privacy-first, no expensive APIs required.
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·2 min
BatonBot: An Open-Source Kanban Tool for Managing AI Coding Agents
BatonBot is a local-first open-source kanban tool built for AI coding agents. Features prompt queuing, pipelines, Jira integration, and multi-model support.
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·3 min
Zero-Cost VibeCoding: Complete Guide to Connecting Local Ollama Models to Codex
Step-by-step guide to running local open-source models (Qwen3/Gemma) with Ollama, connecting to Codex via CC Switch for zero-token AI coding. Works on a 6GB VRAM laptop.
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·2 min
Farewell Perplexity: Why a Free User Left and What It Reveals About AI Search Monetization
A Reddit user's Perplexity farewell exposes AI search's core tension: free trials hook users, then reasoning model quotas drive them away. Here's what it means for the industry.
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Using LLMs to Master MikroTik Network …
·2 min
Using LLMs to Master MikroTik Network Configuration: A Practical Guide to AI-Assisted Network Operations
Explore how LLMs can streamline MikroTik RouterOS configuration — from natural language command generation to AI-assisted troubleshooting and security auditing.
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·2 min
Forge: Adding Reliability Guardrails to Local Model Tool Calling
Forge is an open-source Python middleware for local models (Ollama, llama.cpp, vLLM) that boosts tool-calling reliability via three-layer guardrails: validation, rescue parsing, and retry.
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·3 min
Cherry Studio + MCP: A Practical Guide to Building AI Agents with Local Deployment
Learn how to build an automated AI agent using Cherry Studio, MCP protocol, and locally deployed models — covering DeepSeek integration, web scraping, and private knowledge base setup.
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·3 min
AI Agent Home Server Selection Guide: Low-Cost OpenClaw Deployment in Practice
Discover why AI Agents burn through API budgets fast, and how to deploy OpenClaw on a home server using Ollama, DeepSeek, and Gemini in a cost-effective hybrid setup.
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·3 min
The AI Privacy Debate: Why Local Models and Open-Source Frameworks Are Essential
When cloud AI privacy terms hide data-sharing risks, local model deployment and open-source frameworks offer developers a path to true data control. Analyzing xAI, OpenAI, GLM, Kimi, and Qwen.
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·3 min
Waku Agent Deep Dive: The Four Core Pillars of a Local-First AI Assistant
A deep dive into Waku Agent's four pillars: Loop Engineering, three-tier Memory system, Eval assessment, and the Harness scaffold. Full walkthrough of a local-first AI assistant from task execution to memory consolidation.
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