Step 1 of the Keyhole Legacy System Assessment Framework highlighting Application Inventory as the starting point for legacy application modernization, with the first step emphasized in a four-step modernization process.

Legacy Application Inventory: How to Identify and Assess Your Systems

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You can’t modernize what you can’t see. Most organizations don’t have a complete, current view of their application portfolio. Systems accumulate through growth, acquisitions, and tactical decisions. Ownership becomes unclear, usage declines, duplicate capabilities emerge, and maintenance costs continue long after the original business need has changed. Before making modernization decisions, organizations need a clear understanding of what they own, …

Infographic introducing the Keyhole Legacy System Assessment Framework, showing a four-step process consisting of Application Inventory, Modernization Readiness Assessment, Application Portfolio Prioritization, and Modernization Sequencing Strategy for planning legacy application modernization.

Legacy System Assessment Framework: How to Audit, Score, and Prioritize Your Application Portfolio

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Learn a practical four-step framework for legacy system assessment, application portfolio prioritization, and modernization planning. Build an executable roadmap that reduces risk and aligns technology investments with business goals.

Digital Transformation Statistics 2026: Market Size, Industry Adoption, ROI, and the Agentic AI Acceleration Angle

Keyhole Software Agentic AI & AI-Accelerated Development, All Industries, Articles, Artificial Intelligence, Industry Research, Modernization, Retrieval-Augmented Generation (RAG) 4 Comments

2026 digital transformation statistics: market sizing across leading research firms, industry adoption rates, ROI benchmarks, enterprise vs. mid-market patterns, and how agentic AI is changing transformation delivery economics.

Using GitHub Copilot for Pull Request Reviews: Benefits, Best Practices, and Real-World Experience

Jonny Hackett Agentic AI & AI-Accelerated Development, All Industries, Articles, Artificial Intelligence, Testing Leave a Comment

In this article, I’ll share how I’ve been using GitHub Copilot for PR reviews, where it provides the most value, where it falls short, and the best practices I’ve found for incorporating it into an effective code review workflow.

While most developers think of Copilot as a tool for assisting in writing code (Copilot Chat) or autocompleting code (Copilot plugin in your favorite IDE), it’s during pull request reviews that I find Copilot the most impressive. GitHub Copilot can analyze code changes, generate summaries, identify potential issues, and even suggest fixes before another developer ever opens the PR…