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speedscale

Observability Never Really Shifted Left

Oct 14, 2026 By Alan Mon In Speedscale
We made software development faster. Now we need to make validation faster, too. For the last decade we have shifted development left. Testing, security, performance, and CI/CD all moved closer to the developer. Observability mostly did not. It still starts after deployment (we covered the incident side of this in Your Observability Stack Found the Fire), which means the people writing the code rarely have meaningful production behavior to observe while they build.
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speedscale

Use AI and traffic replay to test AI-generated code

Oct 14, 2026 By Ken Ahrens In Speedscale
When I ask an AI agent to change code, I also want it to run the application and test what it changed. Asking it to write some tests is a start. But if it invents the expected responses from the same assumptions it used to write the code, those tests can miss the same mistake. Traffic replay gives the agent something concrete to test against: requests and responses captured from a working application. The agent can run those requests against its changes, inspect the differences, and repeat the test after a fix. I can open the same results and check its work.
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bitrise

Make React Native builds 4x faster with fingerprint-based caching on Bitrise

Oct 14, 2026 By Silvercast Nguyen In Bitrise
Build tools have relied on it for years to avoid redoing work that hasn't changed. In React Native CI it's still a bit of a secret sauce: a fingerprint-based caching technique that can make your builds several times faster, yet one that surprisingly few teams have switched on. The premise is simple: most of the time you're only changing JavaScript, so most of the native modules are reusable.
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thoughtspot

Build an AI Analyst Your Team, or Your Customers, Can Trust

Oct 14, 2026 By Abhinav Singh In ThoughtSpot
You can get an AI Analyst from most of the players, or you can try to build one yourself. Fewer let you decide what it knows, what it can touch, and who can use it. And even fewer still let you define what it won't do. You need all three before you hand one to a team or put one inside your product. In most of the product experiences, your AI analyst's context had two homes: one expert's head, or org-wide instructions.
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katalon

The Future of Software Testing: Why This Conversation Matters Right Now

Oct 14, 2026 By Rosie Nguyen In Katalon
AI is no longer on the horizon. It is already reshaping how software is built, tested, and released, and it is moving faster than most quality processes were designed to absorb. Developers are shipping AI-written code at speed. Test teams are generating test cases, maintaining suites, and triaging defects with AI. But speed cuts both ways. AI magnifies the process it enters. Strong quality practices can become faster and more scalable.
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katalon

Keep the Intent. Throw Away the Script.

Oct 14, 2026 By Alex Martins In Katalon
I'll give you the takeaway from this blog right now: the part of a test worth keeping is what it's meant to prove, not the script that proves it. Scripts have become cheap to generate, so we should stop treating them as something precious to maintain. Keep the intent. Throw away the script. Last time I wrote that the first time an AI agent runs a manual test case, it can leave an automated test behind, and every later run can use that script instead of the natural-language steps.
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zymr

Multi-Factor Authentication in Healthcare: Balancing Security and Clinical Speed

Oct 14, 2026 By Jay Kumbhani In Zymr
‍ Multi-factor authentication verifies user identity through two or more distinct authentication factor categories. These include something users know, possess, or inherently are, such as biometric characteristics. The multi-factor authentication healthcare organizations deploy protects electronic health records, remote access, and clinical applications. Healthcare authentication must accommodate shared workstations, frequent user changes, and time-sensitive clinical tasks.
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loadfocus

How Multi-Region Deployment Changes Load Testing Results

Oct 14, 2026 By Chris In LoadFocus
Multi-region deployment fundamentally changes performance expectations and testing priorities. Unlike single-region or multi-AZ setups, distributing workloads across continents introduces higher latency, longer failover times, and asynchronous replication. These realities require a new approach to load testing.
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databox

New: Give Your AI Analyst the Context to Explain Performance and Help You Take Action

Oct 14, 2026 By Monise Branca In Databox
You open your performance dashboard and notice that your sales pipeline has dropped 15% since last week. You can see the decline, but the numbers alone don’t explain what caused it. Maybe several deals were pushed into next quarter, your team lost a major opportunity, or a campaign generated fewer qualified leads than expected. The answers are likely somewhere in your CRM, project management tool, or conversations your team has been having.
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smartbear

TestComplete vs. Tricentis Tosca vs. Ranorex: Which test automation approach fits your team?

Oct 14, 2026 By SmartBear In SmartBear
Test automation gets harder when the application portfolio stops looking like a modern web stack. Desktop clients, packaged systems, internal applications, and long-lived business software all create different requirements for how teams build, run, and maintain tests. In an AI-disrupted SDLC, the rest of the stack changes even faster, and the risk concentrated in those systems grows with it.
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