Systems | Development | Analytics | API | Testing

Your AI agent is fixing the wrong service

Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.

Brand an Embedded Analytics App in Minutes with AI Theme Builder

It's the day before your POC, and the embedded analytics demo still looks like it belongs to someone else. Your designer handed over a brand guide last week. Your developer has been buried in CSS variables ever since: cross-referencing token names, mapping changes across components, reloading the page after every tweak to see what broke. The UI is almost right. The nav color is close. The typography still isn't matching, but there's no time left.

Ship iOS and Android builds twice as fast on GitHub Actions

Last year, Nathan Hillyer's iOS platform engineering team at ForeFlight had self-hosted Mac hardware in their office, two engineers keeping them alive, and a codebase with over 2 million lines of Objective-C, Swift, and C++. Every Xcode update was a fire drill. Every capacity spike during a merge meant somebody was physically racking hardware in the Austin office. ForeFlight didn't want a new CI system. They wanted to stop being a data centre.

Apache Kafka 4.3.0 Release Announcement

We are proud to announce the release of Apache Kafka 4.3. This release contains many new features and improvements. This blog post will highlight some of the more prominent ones. For a full list of changes, be sure to check the release notes. With 25 KIPs and over 600 commits since 4.2.0, this release introduces many new features, improvements and bug fixes to all the components. See the Upgrading to 4.3 section in the documentation for the list of notable changes and detailed upgrade steps.

How to Automate Report Scheduling With Logi Report

It’s no secret that businesses everywhere are striving to use AI to automate time-consuming or repetitive tasks. By far one of the most time-consuming tasks business people face is reporting. Whether due to custom exports draining developer time, BI tools that can’t handle document output, or driver maintenance wasting time and focus, reporting can be draining to an organization’s most valuable resources.