AppMap

Really excited to be supporting the MongoDB developer community with AppMap's open source runtime analysis tools!

Turbocharge Copilot with AppMap, Cut Debug Time by 47% GitHub Copilot is powerful—yet debugging and code reviews often still eat away hours. That’s where AppMap comes in: our open-source plugin (IntelliJ/VS Code) adds runtime visualization and data analysis so your team can: - Catch more bugs early: We achieved a 47% bug solution rate on SWE-bench while introducing 0 new bugs in our code fixes. - Review code faster: Real-time performance and security insights reduce rework and guesswork. - Optimize AI usage: We use fewer tokens (91% less) while maximizing Copilot’s outputs, saving both time and compute costs. We’re working with Fortune 50 companies to integrate secure workflows—no data leaves your environment. Open to a quick chat? I’d love to show how AppMap can help your team get even more from GitHub Copilot—for free and with minimal setup. Grab some time on my calendar: https://lnkd.in/eBNV_mF3

While we may not fully understand their choice for a banner image, their recommendation of AppMap is spot on :-) https://lnkd.in/gabKtxCt

When it comes to working with large legacy Java applications, there’s a big difference between tweaking code and tackling complex changes and deep debugging. While AI copilots excel at straightforward tasks, they can fall short when you need deep insights into how your code actually behaves. That’s where AppMap Navie shines. Navie uses AppMap Data to give you a real-time insights based on execution trace data. Armed with this clarity, you can onboard to unfamiliar code and troubleshoot tricky issues faster—no guesswork required. Install the AppMap extension for IntelliJ from the JetBrains marketplace: https://lnkd.in/erNrNrcX Or book a demo with us and we’ll show you how to turn your monolith refactor into a data-driven success: https://lnkd.in/exdGCUR7

Thanks for the shoutout Anubhav! Invisible looks like an interesting project. There is so much value in using AI to go beyond just writing code and help us actually understand the complexity of existing codebases.

AppMap Navie’s Specification-driven development approach is about taking better data and using it to create new artifacts—documentation, specifications, objects, and ways of working to get provably better outcomes from AI-assisted coding.

A bit of a Navie deep cut, but on-demand ERDs when you need to make sense of legacy database schemas are so good.

AI tools are powerful, but they’re only as good as the context you give them. Navie makes sure your AI knows what it’s working with by integrating runtime data and diagrams. Book a demo and I'll show you how to get more out of your AI coding tools: https://lnkd.in/e5-SagZk

Build smarter...

Thanks for the shoutout Bennett Hammock! We love seeing you take your docs up to the elite level. Let us know how it goes.