Context engineering is the practice of curating the content that goes into an AI agent's context window. In Python projects, that may mean pinning your dependency manager in an instruction file, trimming irrelevant history, delegating heavy tasks to ...
Uber recently described an internal architecture for propagating identity across multi-agent AI workflows. The design aims to perserve user context, agent provenance, and scoped access as agents delegate work and call internal tools. The case study . ...
In this quiz, you'll test your understanding of Context Engineering for Python Codebases. By working through this quiz, you'll revisit the layers of an agent's context window and the four strategies for managing it: Curate, Distill, Delegate, and ...
Bert De Swaef shows how PHP attributes made his Livewire components easier to read by attaching validation, URL sync, and event listeners directly to the properties and methods they belong to. Nice piece on how attributes reduce mental overhead, ...
Junie started as an experiment. We asked, "What if an AI coding agent didn't just guess at the details of your project, but actually used the same tools you do?" Over the last year, that experiment tu ...