Systems | Development | Analytics | API | Testing

Best test management tools for Jira

Test libraries that once felt instant can become harder to manage as they grow: test cases take longer to open, reports take longer to build, and every sprint adds more data to an already bloated Jira environment. That’s usually the moment when a testing leader starts evaluating whether the test management tool installed years ago still fits the way the organization tests today. Your team has already decided to run testing inside Jira.

Handling Exceptions in Grape for Ruby: rescue_from and error!

Grape handles exceptions with rescue_from blocks declared on your API class: rescue_from :all catches every exception, while rescue_from ActiveRecord::RecordNotFound targets one class. Inside an endpoint, error!("Not Found", 404) halts with a formatted error, defaulting to status 500. Without a handler, invalid params return 400 and other exceptions bubble up to Rack. This guide covers Grape 3.3. Every response body, status code, and error message was verified on Grape 3.3.5, Rack 3.2.7, and Ruby 3.4.10.

How Will Software Engineers Interface with AI in the Future? aicoding #devops #techdebate #aiagents

A breakdown of the three potential ways software engineers will interact with AI coding assistants, ranging from local desktop setups to fully automated software delivery factories. Learn more: speedscale.com.

Build Hub self-serve is live: bring us your slowest build

That's Nathan Hillyer, Director of Engineering at ForeFlight, on what happened after his team started running their GitHub Actions workflows on Bitrise Build Hub. Until last month, trying that for yourself meant talking to sales first. That’s fine for a 300-person engineering org evaluating a CI overhaul, but it made no sense for the two-pizza team that just wants to know whether changing one line of YAML will meaningfully speed up their Xcode builds. That's fixed.

AI Is Reopening the Build-versus-Buy Question in PropTech

For much of the past decade, the PropTech default was straightforward: buy the commodity software and reserve engineering capacity for what differentiated the product. AI-assisted development is moving that line, and the answer looks less obvious than it did two years ago. For the broader framework, including cost, integrations, vendor lock-in, data ownership, and long-term maintenance, see our guide to build vs buy real estate software.

What's Next for QA Careers? | Fireside Chat with Rahul Shetty

In this fireside chat, Rahul Shetty - one of the most widely followed test automation educators - explores how AI is reshaping testing careers, which QA roles and skills are gaining relevance, and what testers should focus on learning next. He also shares how AI is being used by real testing teams, what interview panels are looking for in 2026, and how testers can stay relevant as the industry evolves. A practical conversation on the future of QA, beyond the AI hype.

Ep 92 | Making AI Fluent in Your Business

Every new AI chat is another first day on the job. Rob Collie describes today’s general-purpose AI as a brilliant new hire who wakes up on their first day every time you start a new conversation. It may understand your industry, but your workflows and business context have to be explained all over again. In this episode of The AI Forecast, Paul Muller speaks with Rob Collie, founder and CEO of P3 Adaptive, former Microsoft product leader for Excel and Power BI, and author of “Fair Game: Bringing AI Into Reach for All Business” to explore why business context can make or break enterprise AI.

Data Interoperability vs Healthcare Interoperability: Definitions, Differences, and Why Both Matter - The 2026 Comparison Guide

Data interoperability enables systems to exchange and reuse information across platforms. Healthcare interoperability extends that capability with clinical context, patient identity, privacy, and compliance controls. This guide answers what is data interoperability, what is healthcare interoperability, and how the two relate. In 2026, the distinction supports regulatory readiness, reliable AI, and safer data exchange.

Crowdsourced Testing for Mobile Apps: Overcoming the Device and OS Fragmentation Problem

The mobile sector has undergone massive transformations since the early days. What used to be a predictable verification exercise is now an intricate web of competing hardware manufacturers, custom firmware distributions, distinct chipset designs, and fast software update schedules. Modern software teams face hundreds of real-world variables every time they prepare a public build. Managing device fragmentation stands as one of the most demanding technical roadblocks in software verification.