Parallel development is here. See tactics to manage AI generated code variations, reduce PR clutter, and shift testing to ...
Learn how multi-agent AI lets startups skip bloat, shift from typing code to orchestrating workflows, and win in 2026 with smaller, faster teams ...
AI and strategies to implement AMI 2.0 are forcing utilities to “build the plane while flying it,” which is a term that came ...
Modular’s Python-like language for low-level programming has evolved, and it’s now available to end users. Let’s take Mojo ...
AI agents aren’t just enhanced tools. They’re autonomous systems designed to pursue a goal, break high-level objectives into ...
Good” data management practices used to mean “keep only what I need now,” but that mentality is a relic of the era when data ...
With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...
Dewret was originally developed to support a real client open source need in photonics, and is spreading across our work in ...
Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...
A powerful MCP (Model Context Protocol) server that provides dynamic YAML-driven workflow guidance for AI coding agents. Features structured development workflows with progression control and decision ...
A special post celebrating the 10th anniversary of the BFI National Archive’s digital preservation infrastructure.
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