Systems | Development | Analytics | API | Testing

Control how much autonomy your AI testing agents have | SmartBear BearQ

Sep 24, 2026 By SmartBear In SmartBear
Can you trust AI agents to run your tests without losing control of your release process? In this video, you’ll learn how, with SmartBear BearQ’s agentic QA system, the answer is yes, because you decide exactly how much autonomy the agents get. This enables you to adapt QA to fast-moving AI codebases, all with human oversight.
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nodesource

Can AI Agents Safely Debug Production Node.js?

Sep 24, 2026 By Estefany Aguilar In NodeSource
AI agents are getting remarkably good at fixing code. Give an agent a well-defined performance problem, enough runtime data, and access to the relevant codebase, and it can often trace the evidence back to a function, suggest an optimization, validate the change, and produce a useful patch. That workflow is no longer particularly difficult to imagine. In some cases, it is already practical. Production debugging, however, has never been only about fixing the code directly in front of you.
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ably

Why WebSockets beat SSE for AI streaming at scale

Sep 23, 2026 By Madeleine Quinn In Ably
Picture a support agent mid-refund: it has pulled the order, flagged the tool call, and is one approval away from processing it. Then the user needs to approve it. On Server-Sent Events (SSE), there's no channel for that approval to reach the agent, because the connection only carries data one way - from server to client. A WebSocket keeps that connection open in both directions instead, so the approval could reach the agent the moment it's given.
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How Will Software Engineers Interface with AI in the Future? aicoding #devops #techdebate #aiagents

Sep 23, 2026 By Speedscale In Speedscale
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.
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bitrise

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

Sep 23, 2026 By Catherine Doyle In Bitrise
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.
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oril

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

Sep 23, 2026 By Zorian Fedoryga In ORIL
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.
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Ep 92 | Making AI Fluent in Your Business

Sep 23, 2026 By Cloudera, Inc. In Cloudera
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.
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bugraptors

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

Sep 23, 2026 By Raghav Vashishth In BugRaptors
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.
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Kafka replication: high stakes, high lock-in

Sep 23, 2026 By LensesIO In Lenses
New research with 150 Kafka practitioners reveals they have a love-and-hate relationship with the replication tools. Most use MirrorMaker2 until it lacks enterprise compliance and complexity pinches. Confluent Cluster Linking is powerful, but organisations hate being locked in. 70% of respondents would make the switch to a different tool if they were assured the migration was easy. Join Guillaume Aymé, the CEO of Lenses.io, who will be discussing the state of Kafka replication with the author of the research, Dinesh Chandrasekhar, the Founder of Stratola Research.
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