Technology Commentary

This page provides a short overview of how Temporal works.

our Continuous Delivery platform

By Jacob Meyers and Rob Zienert

The key selections of AI/ML integration in CI/CD pipelines assist through automating test cases, analytics and self-healing principles.

This architectural shift gives customers control over their data and costs while vendors focus on innovation. A win-win for cloud software of tomorrow.

: 20 years, multiple delays, and millions of dollars later, FI$Cal is live – mostly

I love simplicity. Complexity is our eternal enemy and Simplicity is beautiful; rarely something is as simple as SQLite: a single-file, in-process database. It runs inside our application, there is no need for a separate database server.

Insight debt is the hidden tradeoff of AI-generated code: faster output today, harder maintenance and lost flexibility tomorrow.

The mastery of a senior developer is measured not so much by how much code they can write, but by how much code they can eliminate while preserving essential functionalities.

Lessons learned building TidesDB - an embeddable storage engine that outperforms RocksDB through lock-free concurrency, adaptive compaction, and aggressive caching.

Phoenix is a new X server written from scratch in Zig, aiming to modernize X11 without relying on Xorg code.

As with the notice above, notice & consent online is worse than a fail. It's absurd.  But it helps to have sources that explain how ceremonies promising privacy online will always fail when those running the ceremonies are also incentivised to violate their privacy commitments (or not to make them in the first place). I'm…

Colocataires official blog

Delightful curated lists of free software, open science and information sources.

Just as mechanical engineers use tolerances to determine how safe a material is, so too will AI need to come with a set of acceptable guidelines.

What 50 million daily requests taught me about building systems that don't wake you up.

Resolving scoping and shadowing to produce unique variables for our names

Authored by: Venkatesh Wagh

Predictions for journalism; paperbacks are dead; feeling the fear.

Digital tech has flattened our experience of the world to text under a glass touchscreen, writes Amelia Wattenberger in a beautifully-illustrated essay....

When you crap in Los Angeles, it goes to the ocean through what you see above: the Hyperion sewage processing plant on the south side of LAX. Now imagine this plant as the heart of a fecosystem tha…

Weeknotes 368 - Building an AI Chair, following the recipe by James Bridle, triggered thoughts and links. This and more on ThingsCon, and the captured news of the last week.

Learn how to design a maintainable badge system starting from an MVP and progressively adding progress tracking, flexible logic, and scalable foundations.

Transform your badge system from manual updates to automatic event-driven evaluation. Learn how to decouple badge logic, create maintainable evaluators, and build systems that scale.

American NASA scientist and mathematician

Averages can fail in failure modeling large systems.

Three decades of making things on the internet

TLDR: I made a CLI tool that can resolve an IP address to a country, US state and even a city. https://github.com/jimaek/geolocation-tool It works well and confirms ipinfo's findings. Recently, I read how ipinfo finally proved what most technical people assumed: VPN providers don't actually maintain

Why AI coding is faster but the real work takes just as long