Product Reviews

Free Tool: LibCheck to Find the Differences in DLLs

This Microsoft tool can be a real time-saver.

Don't ask why my client needed me to do this (it would be embarrassing), but we needed to find the differences between two DLLs that represented different versions of the same class library.

Microsoft's LibCheck saved me from using Ildasm and comparing the output from the two libraries by hand (both DLLs had a dozen classes, each with many members). I just had to feed the two DLLs to LibCheck, and it gave me a list of the differences between their public APIs in terms of members added and removed. I had an answer in so little time that I didn't feel right about billing my client for my time.

I mean: I still put in a bill for an hour's work, but I felt really, really bad about it.

About the Author

Peter Vogel is a system architect and principal in PH&V Information Services. PH&V provides full-stack consulting from UX design through object modeling to database design. Peter tweets about his VSM columns with the hashtag #vogelarticles. His blog posts on user experience design can be found at http://blog.learningtree.com/tag/ui/.

comments powered by Disqus

Featured

  • Hands On with GitHub Copilot App Technical Preview: Turning a Blazor Issue into a PR

    GitHub's brand-new Copilot desktop app, in technical preview, handled a small Blazor issue from planning through pull request creation, but the hands-on test also showed why developers still need to verify agent work in the running app before merging.

  • At Build 2026, Microsoft Sets Up Windows as an OS for AI Agents

    Microsoft's Build 2026 Windows developer announcements point to a broader platform strategy for agentic AI, spanning terminal workflows, local models, app-building skills, Cloud PCs and operating system-level containment.

  • Slammed by Copilot Usage-Based Billing on Day 1, Facing $180 Bill for June

    A journalist using GitHub Copilot Pro details how a broken editorial workflow on day one of usage-based billing led to runaway token consumption, a projected $180 monthly bill, and practical tactics for cutting AI credit burn.

  • AdaBoost.R2 Regression Using C#

    AdaBoost.R2 regression works by building an ensemble of decision trees, training them on reweighted data, and combining their predictions with a weighted median, while also showing how parameter choices affect accuracy and overfitting.

Subscribe on YouTube