Intended audience: Software engineers who want a concrete sense of what to study next, and anyone weighing a job change or a specialization Prerequisites: Practical software development experienc...
Target audience: Software engineers, tech leads, and developers who use AI coding tools daily Prerequisites: Basic familiarity with DRY and code clones, hands-on experience with AI coding agents ...
Target audience: Software engineers, tech leads, and developers who use AI coding tools daily Prerequisites: Basic familiarity with the DRY principle and refactoring, hands-on experience with AI ...
Who this is for: People who use AI daily to produce documents, summaries, or code, and who often need to use that content themselves later Assumed knowledge: Basic experience with AI tools like C...
Who this is for: Anyone who regularly asks AI to draft documents, summaries, or slides Prior knowledge: Basic hands-on experience with tools like ChatGPT or Claude Reading time: 12 minutes Ov...
Audience: software engineers using AI coding tools at work, plus the tech leads and EMs designing the transition Prerequisites: hands-on experience with AI tools like GitHub Copilot, Cursor, or C...
Audience: engineers who train or fine-tune LLMs themselves, or who build a model and then want it smaller and faster Prerequisites: a rough picture of how Transformers are trained and the basics ...
Audience: Engineers running LLMs locally or in the cloud who are stuck on one of three problems: it’s too slow, it won’t fit in VRAM, or it costs too much Prerequisites: A rough picture of Transf...
Who this is for: Knowledge workers and software engineers who keep thinking “if I could just get motivated, I’d focus,” and then reach the end of the day with that motivation never having shown up ...
Target audience: Software engineers who use AI coding tools every day Prerequisites: Experience writing code or docs with GitHub Copilot, Claude, ChatGPT, and the like Reading time: 11 minutes ...