One interface for API contracts, test coverage, and production signal: Build AI quality workflows with the SmartBear MCP Server on Amazon Bedrock AgentCore
A collaboration between SmartBear and AWS, by Matt Bonner (SmartBear), Carl Luo (AWS), and Perminder Singh (AWS) For decades, the software development lifecycle (SDLC) gave engineering teams a common framework. Requirements became designs. Designs became code. Teams tested, deployed, monitored, and improved it. Building AI-powered software is different. Modern AI applications combine APIs,…
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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
Autonomous doesn’t mean unsupervised: Trusting agentic QA without losing oversight
AI agents review code, triage incidents, summarize tickets, and draft documentation, and the industry has largely decided the help is worth having. Leadership is often pushing teams for AI productivity gains and many teams accept the mandate. The obstacle is what happens next: the agent works on the wrong thing, the time and money spent
Best test management tools for enterprises
Enterprise testing tools often fail at the same point: the testing setup that worked for one team starts straining under ten teams, multiple pipelines, and an audit request tied to the same release. The core question becomes where testing should live as complexity grows. For some organizations, testing belongs inside Jira, where developers, product, and
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GitHub Copilot app for Beginners: How to build custom workflows with canvases
Describe the interface you need in plain English, then let the agent build a live surface you can both use and update, so you spend less time adapting to tools and more time getting work done. The post GitHub Copilot app for Beginners: How to build custom workflows with canvases appeared first on The GitHub Blog .
How we found 24 Android vulnerabilities using our open source AI security agent
A look at the targeted AI taskflows behind these findings, the critical Android bugs they uncovered, and how to run the same open-source agent on your own app. The post How we found 24 Android vulnerabilities using our open source AI security agent appeared first on The GitHub Blog .
Highlights from Git 2.56
The open source Git project just released Git 2.56. Here is GitHub's look at some of the most interesting features and changes introduced since last time. The post Highlights from Git 2.56 appeared first on The GitHub Blog .
Air Teams: Bring Your Best Agentic Workflows to the Whole Team, and Automate Repeatable Work
Today, we’re introducing JetBrains Air Teams, the team layer for agentic development. It gives humans and agents the shared context, environments, tools, and instructions they need to work effectively together across the full development lifecycle. Air Teams is already available to JetBrains business customers, with plans to expand access to individual customers later. Try […]