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speedscale

What AI Has Never Seen: The Context Gap in Code Generation

Feb 11, 2026 By Ken Ahrens In Speedscale
Your AI coding assistant has read the entire internet. It knows every programming language, every framework, every best practice documented in Stack Overflow answers and GitHub repositories. It can generate a REST API handler in seconds that looks perfect with clean code, proper error handling, following all the patterns. But here's what it's never seen: your production traffic. Data from a real API request. Someone filling out a form with messed up or incomplete data. AI is changing how we write and test code, but there's a fundamental gap between training data and production reality.
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katalon

Katalon Product Roundup | January 2026

Feb 11, 2026 By Ajith K. P. In Katalon
February brings a wave of upgrades across the Katalon platform to help you test smarter, not harder. From deeply customizable analytics dashboards and native release management in TestOps, to AI-driven API test generation, self-healing, and a modernized Studio 11 runtime, this month focuses on visibility, stability, and speed at scale.
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Reusing test cases with Call to Test | Zephyr

Feb 11, 2026 By SmartBear In SmartBear
SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software,faster. By creating test cases, linking them to user stories and requirements, and monitoring progress all within Jira, you can unify your testing and development efforts. This short video demonstrates how to use a test case in Zephyr, known as the “Call to Test” capability. You’ll see how you can reference and reuse test cases across multiple Jira projects, no matter the test case type.
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databox

AI Analytics with Databox

Feb 11, 2026 By Alexander B. Pavlinek In Databox
You know the feeling. It’s Monday morning, and someone asks, “How are we doing?” Suddenly, you’re toggling between six tabs, exporting CSVs, and trying to remember which dashboard has the number they actually need. By the time you’ve pulled everything together, the meeting’s over. This was the problem we originally built Databox to solve: centralizing scattered data into dashboards that actually make sense. But dashboards were only the first step.
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How Nasdaq Architected a $90 Trillion Data Ecosystem

Feb 11, 2026 By ThoughtSpot In ThoughtSpot
Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq’s CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.
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dreamfactory

On-Prem Enterprise Alternatives to Cloud-Hosted AI Dev Tools | DreamFactory

Feb 11, 2026 By Terence Bennett In DreamFactory
This guide explains how enterprises can replace cloud-hosted AI developer tools with secure, on-prem alternatives. It covers architectures, governance, and selection criteria that meet compliance and performance goals. You will learn how teams stand up private code assistants, model gateways, vector search, and policy controls behind the firewall.
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bitrise

You don't have to choose between GitHub and Bitrise

Feb 11, 2026 By Ben Boral In Bitrise
If you're part of a GitHub shop evaluating Bitrise for your mobile app teams, you might be hearing a familiar objection: "Why add another tool? GitHub Actions is our org standard, and it will work for mobile." It's a reasonable point. Nobody wants to maintain a snowflake system that sits outside the approved tool list. But here's the thing — it doesn't have to be GitHub Actions *or* Bitrise. The reality is that mobile CI/CD has unique demands.
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WSO2

What is Semantic Caching?

Feb 11, 2026 By Matt Tanner In WSO2
When we think of a typical API, part of a production-ready setup generally includes a cache. This cache allows for similar requests to be served without having to do the entire roundtrip. But when it comes to AI applications powered by large language models, traditional caching falls short. This is because queries to an AI endpoint may look different in terms of how things are worded or phrased but actually mean the same thing semantically.
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WSO2

Are Your APIs Ready for AI? Preparing Your Landscape for Intelligent Consumption

Feb 11, 2026 By Erik Wilde In WSO2
Getting APIs to work with AI has become one of the major themes in the API space recently. And that’s not surprising because APIs are at the core of an AI’s ability to reach out into the world, to get access to data and information, and to invoke commands and workflows to act. This was always what APIs were for, but in this article we will dive a little deeper what that evolution looks like, and what that means for API governance and management.
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