BrowserStack vs. TestComplete: Which automation tool fits your stack?
Every QA team carries a list of things it hasn’t gotten to yet, and that list tends to grow at about the same rate as the application portfolio. There are more tests to automate than there is time to write them, coverage that stops short of the applications nobody wants to touch, and workflows that
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Recent updates from SmartBear, so you can tell whether this is a one-off or part of a pattern.
Confidence in AI-generated code is rising in lockstep with its failure rate
If you only read the headlines this year, you’d think AI makes shipping good software easier than ever. Yet, this was the year of very public AI-coding incidents. PocketOS’ production database deletion and a Vercel AI agent shipping unverified code are just two examples of AI-authored code shipped with confidence that turned out to be
Honoring Absa: Achieving 96% less test creation time with SmartBear QMetry and SmartBear Reflect
At SmartBear, we’re dedicated to empowering teams by delivering application integrity: continuous, measurable assurance that their software works as intended, even as AI accelerates the SDLC. The AI Test Innovators Award: QMetry + Reflect celebrates customers who are using AI to reimagine how they create, maintain, and manage tests, without sacrificing rigor or reliability.
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
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RustRover vs VS Code + rust-analyzer: What Changes in Your Rust Workflow
As the team behind a dedicated Rust IDE, we’re naturally curious to see how RustRover stacks up against other popular setups for Rust development and the strengths and trade-offs of each one. This article is the first in a series where we’ll look at different Rust workflows. We’re not unbiased, but we want to give […]
Scale without limits: Multigres, OrioleDB, and dbarena
The app your agent built in minutes stays on the same Postgres from prototype to petabyte.
Operate with confidence
More data, more tools and more control so your agent has what it needs to observe your project, investigate issues and propose fixes, autonomously.
Build anything: Supabase from code, and an MCP server for your app
Your agent sets up the backend from code, your users' agents work with your app through its own MCP server, and long-running tasks run in Supabase Compute.