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smartbear

Tester's guide to digital transformation: Why robust object recognition matters

Mar 31, 2026 By Temil Sanchez In SmartBear
Digital transformation rarely happens in a clean, technical environment. Most organizations aren’t starting from a blank slate – you’re operating across a mix of legacy desktop applications, internal web systems, custom-built interfaces, and business-critical workflows that must remain stable while modernization continues around them. The central challenge is whether that automation can remain reliable as underlying technologies evolve.
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dreamfactory

Designing MCP Servers for Observability

Mar 31, 2026 By Kevin Hood In DreamFactory
Observability is the key to understanding and improving MCP servers. These servers connect AI agents to tools, but without visibility, issues like slow responses, errors, or security risks can go undetected. Observability helps track how agents interact with tools, pinpoint failures, and optimize performance.
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speedscale

AI Coding Agents Break What Works

Mar 30, 2026 By Josh Thornton In Speedscale
Your AI coding agent just made every test pass. Ship it, right? Not so fast. A growing class of AI-generated bugs doesn’t come from writing bad code. It comes from the AI changing working code to accommodate its own mistakes. This isn’t a theoretical risk. It’s happening now, in production codebases, and it’s harder to catch than any bug the AI might introduce from scratch.
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Real Device Access API - Product Demo

Mar 30, 2026 By Sauce Labs In Sauce Labs
Building Internal Developer Tools with a Device Lab API: Sessions, Streaming, Logs, and Automation For years, platform teams have had to choose between costly internal device labs for control or public clouds with limited access. That tradeoff ends with the Real Device Access API, the first solution to treat mobile devices as Infrastructure-as-Code—delivering direct, low-latency access to real devices without framework constraints. See how teams can retire internal racks while running any workflow on fully managed infrastructure they control programmatically.
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BearQ Q&A recap: Top questions from SmartBear's live event

Mar 30, 2026 By SmartBear In SmartBear
Asked a question in our BearQ livestream? We’ve got your answers. We received 100+ questions during the event and couldn’t get to all of them live, so we pulled together the most common ones and answered them here. In this video, we break down what BearQ can test, how it handles authentication and complex workflows, how the AI works behind the scenes, how it fits into your existing tools, and even how to get early access.
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dreamfactory

Policy-Driven APIs for AI: Best Practices | DreamFactory

Mar 30, 2026 By Nic Davidson In DreamFactory
Before rolling out policy-driven APIs, it's crucial to have a governance framework in place. This framework should clearly outline who makes decisions, how approvals work, and how exceptions are handled. Interestingly, while 71% of organizations claim to have data governance programs, only 25% actually put them into practice. Even fewer - just 28% - have enterprise-wide oversight for AI governance roles and responsibilities.
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dreamfactory

DreamFactory 7.4.5 Release: MCP Aggregate Data Tool, Cursor IDE Support, and Production Stability

Mar 30, 2026 By Kevin McGahey In DreamFactory
DreamFactory 7.4.5 ships the aggregate_data MCP tool — a purpose-built tool that lets AI agents compute SUM, COUNT, AVG , MIN, and MAX directly on the database server in a single call. This release also adds Cursor IDE OAuth compatibility, a desktop OAuth success page for smoother onboarding, server-side aggregate expression support across all SQL connectors, and critical MCP daemon stability improvements including request timeout guards and global error handlers.
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smartbear

Create tests in Reflect directly from your coding agent!

Mar 30, 2026 By Prashant Mohan In SmartBear
If you’ve used Claude Code, GitHub Copilot, Cursor, or any coding agent, you already know the feeling. You describe what you want in plain language, the agent figures out the steps, and you watch it work. When something goes wrong, it backs up and tries a different approach. Reflect now brings that same agentic workflow to test automation. Through the SmartBear MCP server, any coding agent that supports MCP can connect to Reflect and build tests from high-level objectives.
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kong

From Microservices to AI Traffic: Kong's Unified Control Plane When Architecture Gets Complicated

Mar 30, 2026 By Kong In Kong
Modern enterprise architecture faces a three-body problem. Three distinct traffic patterns pull your teams in different directions. External APIs serve mobile apps and partner integrations. Internal microservices communicate within Kubernetes clusters. AI and LLM calls flow to OpenAI, AWS Bedrock, and self-hosted models. Each pattern looks API-like on the surface. Yet many organizations handle them with separate tools. The result?
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speedscale

The 4 Golden Signals of Monitoring Explained

Mar 27, 2026 By Kush Mansingh In Speedscale
As a team, we have spent many years troubleshooting performance problems in production systems. Applications have become so complex that you need a standard methodology to understand performance. Our approach to this problem is called the Golden Signals. By measuring these signals and paying very close attention to these four key metrics, providers can simplify even the most complex systems into an understandable corpus of services and systems.
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