Systems | Development | Analytics | API | Testing

$4.48 a Gallon: Your Holiday Checkout Is the New Mall

Remember when “going shopping” meant getting in the car? This fall, filling the tank feels like applying for a small loan. U.S. regular gasoline averaged about $4.48 a gallon for the week of September 21, 2026. A round trip to the store starts competing with free shipping. And free shipping never needs a parking spot. That doesn’t tell us how many shoppers will move online this holiday season.

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 still fits the way the organization tests today. Your team has already decided to run testing inside Jira.

Control how much autonomy your AI testing agents have | SmartBear BearQ

Can you trust AI agents to run your tests without losing control of your release process? In this video, you’ll learn how, with SmartBear BearQ’s agentic QA system, the answer is yes, because you decide exactly how much autonomy the agents get. This enables you to adapt QA to fast-moving AI codebases, all with human oversight.

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 on it return nothing, and the team ends up less efficient than before it started by creating more work.

Insomnia 13.2 and 13.3: Easier than Ever

At Insomnia, we believe your tools should support you (and your agents!), not force you into certain ways of working. Over the last few months, we’ve been hard at work streamlining our interface so that it’s easier than ever for you to get started, stay organized, and work however you want with your APIs. There are two key concepts when a developer works with an API.

AI Governance Tools and Platforms: An Enterprise Guide

*Enterprise AI governance requires a composed stack connecting high-level risk and compliance oversight with real-time runtime enforcement. While oversight tools manage inventories, approvals, and evidence, AI gateways apply policy controls directly to live model, API, MCP, and agent traffic. Implementing both runtime controls and structured governance frameworks ensures comprehensive security, observability, and cost management across your entire AI estate.*

How to use DreamFactory to connect Base44 to an on-prem database!

Build a Logistics Dashboard on On-Prem SQL Server with DreamFactory + Base44 In this video, I connect an on-prem SQL Server database to Base44 using DreamFactory. DreamFactory serves a REST API with a read-only role and a scoped API key, and Base44 uses that API as a custom integration to build a full logistics dashboard, complete with related records, filtering, maps, and per-customer and per-driver analytics. No direct database access, no hand-written API code.

How Will Software Engineers Interface with AI in the Future? aicoding #devops #techdebate #aiagents

A breakdown of the three potential ways software engineers will interact with AI coding assistants, ranging from local desktop setups to fully automated software delivery factories. Learn more: speedscale.com.
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Imaginary Test Data. Real Token Bill.

Ask an AI for K-pop concert advice without saying the group, city, date, or budget. It may confidently send you to a BLACKPINK tribute night in Cleveland with a $400 resale ticket. The AI was plenty confident. It just had nothing real to go on. That is exactly what happens when developers test AI applications with invented traffic. The test may look reasonable. The result may even pass. But when real users arrive, with messy histories, incomplete inputs, odd request sequences, and unpredictable timing, the application has to improvise. And improvising is expensive.

Kong API Gateway 3.16: From Debugging to Billing to Compliance

*Kong API Gateway 3.16 is here: runtime log-level tuning, per-consumer plugin configs, credit/usage-based request blocking with the new Entitlement Enforcement plugin, and FIPS 140-3 compliance for regulated industries - all built for live production debugging and governance, no downtime or custom code required.*