As we wrap up 2024, here’s my curated collection of resources I found the most impactful for engineering leaders working at the intersection of web technologies and AI systems.

Articles

Software Engineering

These 2 articles from Addy Osmani are a must-read for any engineer working with AI.

• The 70 Problem Hard Truths About AI-assisted coding
• Future Proofing Your Software Engineering

AI

Anthropic is doing an amazing job at popularizing LLM research.

• Building Effective Agents
• Introducing the Model Context Protocol
• Mapping the Mind of a Large Language Model

A few other important articles this year:

• Machines of Loving Grace
• Open Source AI is the Path Forward

Releases

Two important releases from my perspective, that I think will have a big impact on the future of AI:

• Introducing Structured Outputs in the API
• Introducing Apple’s On-Device and Server Foundation Models

Videos

An amazing video series by Andrej Karpathy on how to code with LLMs. I re-watched it this year and it’s still as relevant as ever.

• Neural Networks: Zero to Hero

Books

A few books I found the most impactful this year:

• Engineering Management for the rest of us
• The Little Book of Deep Learning
• Leading Effective Engineering Teams

Tools

The most impactful tools I found this year:

• Cursor
• v0.dev

Miscellaneous

A few other resources worth checking out:

• Large Language Models: An Introduction
• ml-engineering

Conclusion

2024 has been a transformative year for both web technologies and AI. The convergence of these fields has opened new possibilities for building sophisticated, AI-powered web applications. As we move into 2025, this convergence will likely continue and we’ll see more and more AI-powered applications in our daily lives.

Let’s keep learning and building and see what 2025 brings.