#420: Database Consistency & Isolation for Py...

When LLMs write code to accomplish a task, that code has to actually run somewhere. And right now, the options aren't great. Spin up a sandboxed container and you're paying a full second of cold start overhead plus the complexity of another service. Let the LLM loose on your actu ...  Show more

Monorepos -- you've heard the talks, you've read the blog posts, maybe you've seen a few tantalizing glimpses into how Google or Meta organize their massive codebases. But it's often in the abstract and behind closed doors. What if you could crack open a real, production monorepo ...  Show more

MongoDB, Postgres, Microsoft SQL Server, or MySQL, or any other database manages concurrency control differently. There are two methods, pessimistic and optimistic, both have their pros and cons. Let explore how different databases implement this and what is the effect on perf ...

Modern networked applications generate a lot of data, and every business wants to make the most of that data. Most of the time, that means moving production data through some transformation process to get it ready for the analytics process. But what if you could have in-app an ...

Django core contributor Andrew Godwin joins the show to tell us all about Python and Django. If you've ever wondered why people love Python, what Django's virtues are as a web framework, or how Django Channels measure up to Phoenix's Channels and Rails' Action Cable, this is the ...  Show more

I’m a big believer that database systems share similar core fundamentals at their storage layer and understanding them allows one to compare different DBMS objectively. For example, How documents are stored in MongoDB is no different from how MySQL or PostgreSQL store rows. Ev ...