For most of the past decade, the conversation around regression testing tools was fairly stable. The tools got faster, the integrations got smoother, and the underlying approach stayed largely the same: write tests, run them in CI, fix failures. The fundamental model did not change much because the problem did not change much. AI-assisted development has changed the problem.When developers use AI coding assistants to generate significant portions of their codebase, the assumptions that most regression testing tools were built around start to break down in specific and consequential ways. The tools themselves have not been standing still – several…
Author: drweb
In our State of Agentic AI report, 45% of organizations said they struggle to ensure the tools their agents use are secure and enterprise-ready. That number reflects a broader reality: AI agents are moving into production faster than the security practices around them are maturing. The challenge is not that organizations lack security awareness. It’s that agents behave fundamentally differently from the applications security teams are used to protecting. An agent decides on its own which tools to call, what data to pass between them, and how to chain actions together. Traditional controls built around static API endpoints and predefined…
Junior QA & Application Support Specialist
Postman added an artificial intelligence (AI) agent to its portfolio of tools and platforms for building and governing application programming interfaces (APIs) that can autonomously perform tasks ranging from development and documentation to exploration and setting up integrations with continuous integration/continuous deployment (CI/CD) environments.Company CEO Abhinav Asthana said the Autonomous API Engineer significantly reduces the total cost of building and maintaining APIs by automating time-consuming tasks that have historically created bottlenecks in software engineering workflows.In fact, the AI agent developed by Postman will make it significantly simpler to integrate API development and testing within those workflows, said Asthana.Designed to be…
A while ago we suddenly had an error while trying to deploy one Fabric workspace to another using fabric-cicd. The issue was with a GraphQL object and the following error was returned:Failed to publish GraphQLApi ‘my_graphql’: Operation failed. Error Code: DatasourceInvalidStoredProcedure. Error Message: Only those stored procedures whose metadata for the first result set described by sys.dm_exec_describe_first_result_set are supported.The GraphQL object indeed uses a couple of custom stored procedures as mutations and apparently one was not behaving. I remembered the sys.dm_exec_describe_first_result_set from my old SSIS days, as it used with stored procs (or other SQL statements) to retrieve the metadata…
It’s time for T-SQL Tuesday again! And we’re almost to number 200! T-SQL Tuesday is a monthly community blogging event started by Adam Machanic in 2009. Each month a host picks a topic, participants write about it on the second Tuesday of the month (9th of June), and the host posts a recap with links to all the responses.The TopicI was intrigued by this blog post from Alexander Arvidsson (blog | bluesky | linkedin): The Whiplash Effect – The Skills We Forgot We’d Need. He talks about the fact that more and more clients are considering moving back to on-prem.…
Docker Captain May 26, 2026 The Untrusted Autonomous Workload: How AI Coding Agents Reshape What Isolation Has to Do Learn why AI coding agents need stronger isolation, how Docker Sandboxes use microVMs, and what secure autonomous workloads require. Read now
Rocky Linux 10 replaced VNC with RDP (Remote Desktop Protocol) for remote graphical installations, so if you’ve got a headless server and no monitor to plug in, this guide shows you exactly how to run the full Anaconda installer from your workstation using 3 boot parameters. Most real servers don’t have a monitor attached and sit in a rack, where they are powered on and managed entirely over the network from a remote system. That works fine after the system is installed because you can manage it over SSH, but the initial OS installation is different, especially when a graphical…
Modern DevOps practices have completely transformed how we handle compute and orchestration. Tools like Kubernetes enable engineering teams to spin up ephemeral containers in seconds and scale workloads dynamically to meet global demand. Yet the underlying network infrastructure has remained stubbornly rigid. Traditional cloud networking relies heavily on static IP addresses, rigid firewall rules, and slow DNS propagation. This creates a severe architectural mismatch where highly dynamic compute layers are trapped inside static network topologies.This friction becomes a critical failure point when deploying modern distributed workloads. Artificial intelligence applications and autonomous multi-agent systems are inherently transient. They migrate across cloud…
Docker Captain May 26, 2026 The Untrusted Autonomous Workload: How AI Coding Agents Reshape What Isolation Has to Do Learn why AI coding agents need stronger isolation, how Docker Sandboxes use microVMs, and what secure autonomous workloads require. Read now