openhare
https://github.com/sjjian/openhare
openhare is an AI-powered, cross-platform desktop SQL client with multi-database support, built for everyday development, data analysis, and DBA management workflows.
https://github.com/sjjian/openhare
codeburn
https://github.com/getagentseal/codeburn
CodeBurn tracks token usage, cost, and performance across 19 AI coding tools. It breaks down spending by task type, model, tool, project, and provider so you can see exactly where your budget goes.
https://github.com/getagentseal/codeburn
The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale
https://netflixtechblog.com/the-human-infrastructure-how-netflix-built-the-operations-layer-behind-live-at-scale-33e2a311c597
In the three years since our first Live show, Chris Rock: Selective Outrage, we have witnessed an incredible expansion of our live content slate and the live operations that support it. From modest beginnings of streaming just one show per month, we are now capable of streaming over nine shows in a single day, reaching tens of millions of concurrent members. This post pulls back the curtain on the Live Operations teams that enable this rapid scale.
https://netflixtechblog.com/the-human-infrastructure-how-netflix-built-the-operations-layer-behind-live-at-scale-33e2a311c597
Why LLMs Write Incorrect SQL (and What That Means for Your Database)
https://readyset.io/blog/why-llms-write-incorrect-sql-and-what-that-means-for-your-database
Most LLM-generated SQL doesn't fail. It runs and returns results, and that's exactly what makes it dangerous. The errors don't surface until they're already in your data.
https://readyset.io/blog/why-llms-write-incorrect-sql-and-what-that-means-for-your-database
What does using AI for post-mortems actually mean?
https://incident.io/blog/what-does-using-ai-for-post-mortems-actually-mean
https://incident.io/blog/what-does-using-ai-for-post-mortems-actually-mean