We built Multiplayer because engineering teams deserve to live the “good” pie chart. 👀

We’re taking a hard look at how easy it is to get started with Multiplayer. If you tried full stack session replays and bounced during setup, your perspective would help us a lot. We’re offering a 💰$50 gift card 💰 for a short feedback chat. More info below 👇

Turns out it's a lot easier when you can just... see what happened.

🎁 The best gift you can give your engineering team? Automatic visibility into request/response content AND headers from EVERY internal service call and external dependency. ❌ No more "Can you add more logs?" ✅ Just complete, correlated, end-to-end payloads, captured automatically

Your code may be clean but it can still be wrong. The problem isn't your skills (probably). It's that you’re missing the full context of what happened across your entire stack.

Tried Multiplayer but didn’t finish setup? We want to understand why and we’ll compensate you for your time. Just book the time 👇 that works for you and tell us what we can do better. No sales pitch. Just feedback.

Building an MCP server because "we should support MCP" is like adding an API because "everyone has APIs.” That's why we built our MCP server for devs who already use our full-stack session recordings and need that info into their AI tools.

The only way to fight AI slop is to give your tools full stack context at the start. Or, failing that, at least have it available when you're fixing prod.

We’re building the only tool that provides full-stack session replays out of the box. It includes all the data you wish you could get from your observability and screen recording tools. If you signed up for Multiplayer but didn’t make it through setup, we want to hear why.

67% of developers now spend MORE time debugging AI-generated code than they did before AI tools. We created a problem by moving faster. But AI (powered debugging) itself might be how we solve it. 🧵 👇

Not all "session replay" features are created equal. Mixpanel's frontend session replays are an add-on to a product analytics tool. Multiplayer's are built for engineers asking: “What issue did the end-user experience?” “Why is the system behaving this way?" “How do we fix this bug?”

Me: "Happy New Year!” Pikachu: "Pi-ka Pika Pika!" Yoda: "Joyful greetings, young one!" My app: *500 Internal Server Error* Good thing we have full-stack session recordings to debug this! Happy New Year, from the Multiplayer team. May your errors be caught and your context be complete. 🎉

New year’s resolution: stop debugging for hours, it doesn’t make you a hero. Start fixing bugs in minutes.

AI can only reason with the context you give it. Full-stack, real-time is a game changer.

🔥 Hot take: Session replay without backend visibility is like having a security camera that only films the parking lot. Sure, you can see someone walked into the building. But you have no idea what happened inside.

End-users don’t care if your team is overworked (or on vacation)… they want their issues resolved, fast.

Today’s hardest problem isn’t (just) building APIs, it’s also debugging how they behave in production. API docs have come a long way to help you understand your APIs… but they are still not enough. Here’s how we got here 🧵👇

Take session recording. Pop into AI tool. Get bug fix. Repeat.

🎁 The best gift you can give your engineering team this holiday season? Automatic visibility into request/response content and headers from EVERY internal service call and external dependency. Because nothing says "I care" like never having to ask "what did the API return?" again. 🎄

How much is partial visibility costing your team? If you're using Fullstory, you can see what users are doing on the frontend. But when something breaks, can you see why?

At Multiplayer, we're tackling this 👇 with full-stack session recordings for visibility, paired with AI features (MCP server and AI agent) to automatically generate PRs for devs to review.

Every engineer knows this moment. Fixing the bug wasn’t even that hard, but finding all the right context was.

Debugging today often means juggling clues: a replay here, logs there, traces somewhere else. We spent 2025 helping teams move from scattered signals to a single, complete timeline. From user action to backend behavior. Check out what we shipped in 2025 👇

👇 Release Notes: What’s New in Multiplayer 🤖 VS Code extension: No more context switching between your IDE and the Multiplayer dashboard 📲 Mobile support: Comprehensive session recording capabilities for React Native applications Let’s dive in 👇

Cut your WTFS* per day to zero! *(Wait Time For Screenshot, of course)

Choosing between LogRocket, Sentry, Datadog, or FullStory? This comparison highlights where each excels, and where @multiplayer.app is the only tool that provides full-stack data and cross-team collaboration capabilities out of the box Check it out ➡️ medium.com/javascript-i...

If you’re choosing a tool to get visibility into your user and system behaviour, here are the key features you should look for. Our top 3: ✔️ Full-stack data ✔️ AI-ready ✔️ Multiple recording modes and install options Full article: www.multiplayer.app/session-reco...

If your engineers unusually productive because they're not doing end-user support... then your support process is unusually inefficient.

When Ellen Ripley says “we’ve got a problem,” you know it’s not just a missing semicolon. 👾 Good thing Multiplayer caught it all: from the bug hatching to the suspicious logs hiding in the vents.

As more engineering teams experiment with AI, one challenge keeps resurfacing: systems need significantly better context before AI can be trusted in production. That’s why we’re excited to see Tom joining this LeadDev panel with speakers from Cloudflare, GitLab, and Databricks.

Andrew’s comparison across five major tools highlights just how tough the debugging problem really is. ... and why end-to-end context is becoming essential for modern engineering teams. 🙌

Context fragmentation is the real bottleneck. This captures the day-to-day reality for so many engineering teams. 👇 Teams adopt microservices for autonomy and scale, but unless the debugging workflow evolves with the architecture, you end up with more tools, more friction, and less clarity.

Teams need deeper, end-to-end visibility, not just alerts. Understanding *why* something broke is just as important as knowing *that* it broke in the first place.

Your future self called. It wants fewer postmortems.

It’s always great to see devs dig into the technical details of what works and what doesn’t. Where traditional replay tools fall short (especially when debugging issues or reconstructing user journeys across systems) is exactly why we built Multiplayer the way we did.

When you’re chatting with Ada Lovelace from beyond the grave and the app suddenly breaks … you don’t need a séance, you need a full-stack session recording. 😆 Multiplayer captures everything: frontend actions, backend traces, request/response from those hard-to-reach middle layers.👇

Check this break down of a real incident inside a large investment bank and the lessons every team can apply: ➡️ shorten the path from “it’s broken” to “we know why” ➡️ improve issue reporting with richer context ➡️ eliminate the marathon of back-and-forth that slows teams down

Most session replay tools were built for product analytics, not debugging technical issues and bugs. They record everything: every click, every scroll, every user. And leave you digging through hours of noise to find a single clue.

If you said “We’re looking into it” last week … and you’re still looking … this might be your sign to try something different. Like a session recorder that actually shows you what happened end-to-end. Just saying. 👀

When ‘minor bug’ turns into a major context switch…

Eng: There’s a ton of Anodot alerts about a spike in 404s. It looks weird. Can you investigate? You: [silently cries 😭] Sure. How hard can it be to chase down an intermittent error? If you also have on-call stories like this 👇, it may be time to stop being a “human correlation engine".

Great talks show you what’s possible. Great demos show you what’s practical. If you didn’t catch Faris’ talk at ZurichJS, take this as your invitation to try Multiplayer on your next bug.

The better our tools get, the less we practice the skills that make us experts. That’s the automation paradox and it’s reshaping how we build, debug, and think about software. 🧵

Anyone who has chased a production issue across Sentry, Datadog, Elastic, and internal logs knows the feeling: you stop debugging and start correlating. This breakdown shows how Multiplayer full-stack session recordings + AI dramatically reduce that complexity. 👇 www.youtube.com/watch?v=UA-A...

User: What’s the benefit of switching to @multiplayer.app ? Me: 👇

Blink and the bug’s gone. 🫡 We don’t blink.

Tried cooking up some code with Julia Child and promptly broke the recipe (ahem, application). Thankfully, Multiplayer had the whole thing recorded: every click, trace, payload and header from deep inside the system.👇

What a “hot-potato” hand off looks like in tech support:

Most MCP servers give your AI IDEs access to *some* context, usually APM data or frontend-only replays. That’s useful, but incomplete. Without the *full stack* context, your AI agents are left guessing, and hallucinations creep in. 👇

1. Open VS Code 2. Go to Extensions view (Ctrl+Shift+X or Cmd+Shift+X) 3. Search for "Multiplayer" 4. Click Install 5. Debug in minutes instead of days