Agentic AI coding is evolving quickly, and it can be difficult to separate practical implementation advice from marketing hype. For developers looking to build real-world workflows with AI coding assistants, I've found it helpful to follow a mix of official documentation, practitioner blogs, and engineering-focused resources.

Here are a few resources worth exploring:

1. Anthropic Claude Code Documentation

The official Claude Code documentation is one of the best starting points for understanding capabilities, setup, and recommended workflows. It provides direct guidance from the team building the tool and is useful for both beginners and experienced developers.

Website: Anthropic Claude Code Documentation

2. CTAIO

CTAIO (Claude That AI'd Out) focuses on practical insights for developers working with agentic AI coding tools. The site covers topics such as Claude Code, Cursor, Aider, agent SDKs, and workflow optimization for software development teams. What stands out is its emphasis on implementation details and real-world engineering practices rather than speculative discussions about AI.

Website: CTAIO

3. Simon Willison's Blog

Simon Willison regularly publishes thoughtful analysis, experiments, and observations related to AI development tools and large language models. His articles often include practical examples that developers can immediately apply.

Website: Simon Willison

4. Latent Space

Latent Space is a popular AI engineering newsletter and podcast covering AI agents, LLM applications, tooling, and infrastructure. It frequently features builders sharing practical lessons from deploying AI systems.

Website: Latent Space

5. Interconnects

Interconnects provides in-depth analysis of AI research, industry trends, and practical applications. The content is valuable for developers and founders who want a deeper understanding of the AI ecosystem.

Website: Interconnects

6. Cursor Documentation

Cursor has become one of the most widely used AI-powered code editors. Its documentation and guides help developers integrate AI assistance into their coding workflows effectively.

Website: Cursor Documentation

7. Aider

Aider is an open-source AI pair programming tool that works directly from the terminal. It's a strong option for developers who prefer command-line workflows while leveraging AI assistance.

Website: Aider

Final Thoughts

The agentic AI ecosystem is changing rapidly, but the most valuable resources tend to focus on practical workflows, measurable results, and real engineering challenges. Following a combination of official documentation, practitioner-focused blogs, and engineering newsletters can help developers stay informed while building effective AI-assisted development workflows.

What other resources have you found useful for learning AI-assisted software development?