Blog | Scale Factory

Deciding your agentic AI use case

Choose the right agentic AI use case with a two-category framework: internal process automation vs user-touching processes.

Common regression testing challenges and how to overcome them

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The regression testing challenges that slow your releases are predictable. Here’s how to fix them, and how to keep them from coming back.

Your cloud-to-cloud discovery checklist

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Hear from Mike Mead, Scale Factory’s Technical Director, as he explains essential checks before you plan a cloud-to-cloud migration.

Are you using the right AWS Lambda for your architecture?

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Confused about the different types of AWS Lambda compute? Our guide breaks down how they differ, and the pros and cons of each.

Forward Deployed Engineers: What are they and how are businesses using them?

Learn what forward deployed engineers (FDEs) do, how they differ from consultants and engineers, and why they’re key to getting AI from pilot to production.

Model Context Protocol (MCP) – Establishing context for your AI agents

What are MCPs and how can they affect how you approach AI-based projects?

One tool call away from a supply chain breach

Is a tool call the difference between an external prompt injection and a successful process?

Amazon Bedrock: Six months of security and governance updates worth knowing about

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A recap of the most important Amazon Bedrock updates you need to be aware of

Balancing speed and oversight with review-first test generation

The promise of AI in software testing is immense, but the rush to automate everything can create more problems than it solves…

How Generative AI is changing software testing

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GenAI solutions have moved from being an experimental technology to a practical enabler within software testing and quality engineering