👇 Release Notes: What’s New in Multiplayer. 📝 Automatically create test scripts from debugging sessions.✨ Generate Notebook API, code, UI blocks with AI.🪲 Faster debugging with the Multiplayer browser extension. Let’s dive in 👇.

With full context and prompt-optimized input, your AI can suggest accurate, system-aware fixes.

The solution is simple: receive better AI fix suggestions. To do that, send your AI IDE full-stack session recordings: frontend screens, backend traces, metrics, logs, and full request/response content and headers.

Add to that that debugging AI-generated code feels 10x harder because you didn’t write it. When you write code yourself, you build a mental model. You know the shape of the data, the edge cases, the intent behind each line. With AI-generated code you inherit logic without.

The model doesn’t know your architecture, runtime state, or the exact execution path. It doesn’t have any awareness of intent or business rules. It may suggest a patch for the symptom without understanding the cause. In short: the code may look like it works, but that’s not.

There are many reasons why AI coding assistants can introduce bugs:. • No system context .• Vague prompts .• Outdated or hallucinated APIs, libraries, methods… .• Happy-path logic only .• No business awareness .• ….

Vibe debugging emerged naturally alongside the rise of vibe coding. It highlights the difficulties of debugging AI-generated code without fully understanding it. In short: create 20,000 lines in 20 minutes, spend 2 years debugging

What is vibe debugging?. If you’ve used an AI coding assistant, you’ve probably done it, even if you didn’t call it that. Let’s unpack this very unofficial, very real debugging pattern 🧵👇

It pays to be proactive, especially when data captured at the right moment (and across the full stack) can shave hours off your MTTR.

Every missing trace, every unlabeled log, every ‘unknown’ in a dashboard … these are debts that will compound during your next production incident.

Building an internal API integration?. Here’s an example of how you can:. ✔️ Chain internal API calls to model real workflows. ✔️ Prototype code logic inline. ✔️ Add interactive custom visualizations using HTML/CSS/JS

If your system goes down and the first step is 'open five dashboards,' you don’t have a debugging workflow. You have a scavenger hunt.

We’re not saying your system is the problem. But we’re also not not saying it.

😍.

Worth your time, especially if your team is building (and debugging) complex systems:

Missed our live session on faster debugging workflows?. Check the recording to learn: . 🧠 Why observability needs to move left .🐛 How to debug with full-stack context (and no guesswork) .🤖 What AI can actually do to fix bugs.

Join now →

🔴 We’re live!. Tune in to see:. ✔️ Full-stack debugging in action.✔️ How to feed real runtime context into your AI IDE.✔️ What it takes to go from symptom to fix, fast.

Last chance to attend →

Today’s the day!. 🐞 Bug reports don’t have to mean Slack threads, log spelunking, and guesswork. Join us for a live walkthrough of how left-shifted observability + AI-assisted debugging can speed up your entire workflow. 📅 July 23 | 2PM ET | 11AM PT | 8PM CEST.

Free to attend →