Urgent.News

What's breaking now, across thousands of outlets.

Tech

Eighteen Enclosures, Before And After

Eighteen domains, each with its first measured point and its last; the worst started at a quarter, one stays under a hundred. ๐Ÿ‘‹ Hi, I'm Anton - a software engineer. These days I work on a platform: contracts, generated code, data paths and the tooling around them. Running notes live on my GitHub: github.com/brilliant-almazov . Every number below is the acceptance agent's own count on local testโ€ฆ

The story follows the integration acceptance process across a chain of services, conducted over a week with the help of a guinea pig named Pickle who tracks each domain's progress with colorful tags. Each domain has an acceptance number measured at the start and end of the week. Of the eighteen domains, only one was under 100% at the beginning of the week: "gathering on the emulator" with 95 out of 114 rows.

The story explains how Pickle kept track of the "before" and "after" numbers to show the progress made by each domain.

Written by urgent.news from Dev.to's reporting โ€” not their text. Machine-written โ€” may contain errors; check the original before relying on it.

Read the original at dev.to โ†’

More in Tech

Find the Rework Loops: Counting Repeat Edits per Record in an Exported Sheet With Python

When a small team says "this process is slow", the cause is often not speed. It is rework: the same order, quote or ticket gets touched again and again because a rule is unclear.

  • Small teams often face rework due to unclear rules, not speed issues.
  • Python script reads change log CSV to count repeat edits per record.
  • Script identifies top 20 records with highest rework frequency for workflow improvement.

I Built Homelab Architect โ€” Plan Your Stack Before You Build It

Most homelab beginners make the same mistake: they grab a Docker Compose template, paste it in, and then discover three months later that their "simple setup" is a sprawling mess of undocumentedโ€ฆ

  • Homelab Architect tool analyzes docker-compose.yml or builds stack manually.
  • Generates resource dashboard, service cards, security audit, and more.
  • Works entirely in browser, no data sent, functions offline after load.

You Never Know

Grad-school work on worst-case execution time โ€” and how the same method jumped to energy, then got dwarfed by scale. You never know. A look back โ€” long before any of the tools we argue about now.

  • Master's degree focused on Worst Case Execution Time (WCET) analysis
  • Developed improved prediction methods for energy consumption reduction
  • Anticipating future technological advancements is uncertain

More from Saturday 14 November โ†’