Three AI coding agents, three different philosophies. Aider is open-source and terminal-native. Cursor is the AI IDE. Claude Code is the autonomous agent. Here's how they compare and which one fits your workflow.
7 min read
AI AgentsOpen SourceDeveloper ToolsMulti-AgentWorkflow
The Agency (agency-agents) is an open-source collection of 232+ expertly crafted AI agent personas spanning 16 divisions — from engineering and marketing to game development and GIS. Learn how to install, customize, and orchestrate them across Claude Code, Cursor, OpenClaw, and more.
12 min read
AI CodingTrendsClaude CodeCursorAI AgentsSWE-AgentFuture of Development
The AI coding landscape is consolidating fast. Terminal agents like Claude Code are adding IDE integrations. IDEs like Cursor are adding agent modes. Platforms like Replit are absorbing everything. Here's what the unified future looks like — and how to navigate it.
A practical, hands-on guide to OpenAI Codex CLI — installation, configuration, real-world dev workflows, and honest comparison with Claude Code. Based on actual daily usage, not marketing fluff.
Comprehensive comparison of Crush (successor to OpenCode) vs Claude Code — the two most talked-about terminal AI coding agents. Covers features, setup, cost, multi-model support, and which one to choose for your workflow.
12 min read
AI CodingAI AgentDeveloper ToolsBest PracticesProductivityAI Limitations
An honest look at AI-assisted coding in 2026 — where AI coding agents excel, where they fail, the '70% problem,' and a practical framework for getting real productivity gains without the hype.
Go beyond basic RAG with advanced techniques used in production systems. Covers hybrid search, Graph RAG, cross-encoder reranking, query decomposition, and evaluation frameworks.
Deep comparison of AutoGen, CrewAI, and LangGraph for building multi-agent AI systems in 2026. Tested on real tasks — code generation, research, document processing, and customer support. Includes code examples, benchmarks, and recommendations.
A practical guide to fine-tuning LLMs in 2026. Compare LoRA, QLoRA, full fine-tuning, and DPO. Includes GPU requirements, cost estimates, step-by-step tutorials, and when to choose each approach.