I went and saw a comedy show last night, and doing a baseball game tomorrow night. So, I’m getting some of my favorite types of entertainment in batches. I hope you’re doing the same!
[article] The role of developer skills in agentic coding. Truly excellent post from Birgitta. She’s been heavily using AI coding agents, and sees a clear role for the developer. Keep learning to code.
[blog] Learn to code, ignore AI, then use AI to code even better. Very much agree. Don’t buy into the AI-only abstraction.
[article] Tracing the thoughts of a large language model. How to models like Anthropic’s Claude “think”? Here’s a fantastic piece from Anthropic that studies how LLMs plan and respond.
[blog] Taming the Complexity of Cloud-Native Development with Internal Developer Platforms. The industry is agreeing on the pieces of an IDP. Delivering one that feels integrated is no small feat.
[docs] AlloyDB AI use cases. Looking for inspiration for how to use your relational database with AI systems? This new landing page in our docs calls out some scenarios and tutorials.
[blog] What is an AI Agent? Strong piece and a good all-up look at agent definitions, technologies, and patterns.
[blog] An inside look into Google’s AI innovations: AI Luminaries at Cloud Next. We’ve got a special program at Cloud Next for leaders looking to get the big picture on AI.
[blog] Gemini 2.0 vs Gemini 2.5. It’s important to build a muscle (and system) to eval prompts, models, and agents. Here, we see that Gemini 2.5 is darn good at code generation.
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