Daily Reading List – February 3, 2025 (#485)

I’ll tell you, I’ve used the content I’ve found for this daily post over a dozen times already this year. Usually, in conversations with others or in presentations. Paying attention pays off!

[article] Emerging Patterns in Building GenAI Products. I enjoy these installment-style articles from ThoughtWorks, and this one has good introductory content on LLM prompting, evals, and embeddings.

[article] 6 Lessons for Startups from a Museum Dedicated to Failure. If you can’t quickly list 2-3 of your failures, I question your self-awareness 🙂 Here are ones to look out for in startup businesses.

[blog] Is engineering strategy useful? There’s always a strategy, even if it’s not articulated or written down. Will has a great post here about the importance of a written strategy.

[blog] Building Next-Gen AI Agents: Evolving Patterns and Best Practices. I found this a useful list of topics to consider when looking at what it means to build with AI right now.

[article] Introduction to Software Testing. Here’s a good foundational look at what it means to do software testing. Great if you’re looking for the basics!

[article] Prompt Injection for Large Language Models. Get some good details here on the risk of prompt injection, and how you can try and defend against it.

[blog] Serverless Compute for Notebooks, Workflows and Pipelines is now Generally Available on Google Cloud. Databricks customers have good options across clouds, and I’m happy to see this option fully available on the best one 🙂

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