Today’s reading list is once again full of lots of thought-provoking content and solid advice. Check out some good pieces on open source strategy, controlling LLM output, creating pull requests, and making software for a living.
[blog] New Atlassian research on developer experience highlights a major disconnect between developers and leaders. These are good data points to have when trying to justify investment in dev experience. Many devs are losing time to inefficiencies, and devs place a high value in working at places with an investment in dev experience.
[docs] Google models. We shipped a new page in our Cloud docs that explains our LLMs well, and, lets you click through to run them in Vertex AI even if you don’t have a Cloud account.
[blog] The Post-Valkey World. Launch an open source project, reach scale, and relicense to something proprietary. This has been a popular playbook as of late, but Stephen wonders if the tide has turned.
[article] Presti is using GenAI to replace costly furniture industry photo shoots. This is another case where you see how companies of all sizes can compete differently with AI at their disposal.
[blog] Control LLM output with response type and schema. Mete helpfully walks through each step of getting incrementally more structured output from the LLM.
[blog] Amazon GenAI Services. I saw a lot of hand-wringing last week from AWS customers/superfans after the AWS Summit. Maybe it was ok when other clouds focused heavily on AI, but not when AWS does it? Or, the concern could be that the AWS approach isn’t differentiated, and they’re clearly behind in mindshare? Either way, interesting.
[article] Watch a robot navigate the Google DeepMind offices using Gemini. Fun, but informative, look at where large context helps this office-dwelling robot.
[blog] In Praise of Small Pull Requests. A small pull request (or changelist, in Google terms) isn’t always possible, but should be the goal. That’s according to this short post from our Testing blog.
[blog] The CEO’s Guide To Building Generative AI. Some optimistic and helpful guidance from the CEO at Forrester Research.
[docs] Advanced load balancing overview. Some of the planet-scale, battle-tested load balancing algorithms used by Google itself are now available in the Cloud Service Mesh product.
[blog] Lessons learned in 35 years of making software. Wonderful lessons here, especially for those that want to leave a positive mark behind.
[blog] New Spanner geo-partitioning improves performance and lowers costs. Super cool. Partition your table’s data at the row level, but still get all the cohesion of a unified table.
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