DEV Community: Roel Leal

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Roel Leal — Wed, 29 Jul 2026 16:23:45 +0000

Roel Leal

Jul 29

AppAmbit vs Sentry vs Firebase, which one is better?🤷‍♂️

#ai #analytics #mobile #monitoring

4 min read

AppAmbit vs Sentry vs Firebase, which one is better?🤷‍♂️

Roel Leal — Wed, 29 Jul 2026 16:22:56 +0000

Shipping a mobile app means running a stack you put together yourself: a health and logging tool, an analytics tool, a database, a CMS, a push service, and a delivery pipeline. Each one is solid on its own, but none of them know the others exist. So when crashes spike after a release and you just want to know "is it the new build, and who's affected?", you end up with four tabs open, jumping between dashboards for an hour to piece the answer together.

That's really the thing to compare. Not whether one tool tracks crashes a little better than another, but how many separate tools it takes to run one app, and what you pay to keep them glued together. So here's an honest, side-by-side look at three ways to cover that ground: AppAmbit, Sentry, and Firebase. Where each one is strong, where each one costs you, and the one thing AppAmbit does that a stack of separate tools can't.

The real problem isn't any single tool. It's the stitching.

Think about what a real app actually runs on. Something for health and logging (Sentry). Something for events and user analytics (GA, Amplitude). A database (Mongo, Postgres, AWS). A CMS for content (Contentful, Strapi). A push service (OneSignal, FCM). And a pipeline to ship builds.

Any one of them is fine on its own. The pain shows up in the gaps between them: six learning curves, six bills, and data that never shares a user ID or a timeline. Ask "did this version cause more crashes, and who's affected?" and no single tool can tell you. You're stuck cross-referencing the crash tool, the analytics tool, and the delivery dashboard by hand. That's what actually costs you, not the feature checkboxes.

Feature matrix

Here's the fair version. Sentry and Firebase are mature and battle-tested at what they do. AppAmbit's edge is that all of it lives on one connected platform.

Capability	AppAmbit	Sentry	Firebase
Crash & error monitoring	✅	✔️	✔️ (Crashlytics)
Deep performance / distributed tracing (APM)	✅	✔️	✔️
Product & audience analytics	✅	Partial	✔️ (GA4)
Session timeline + breadcrumbs	✅	✔️	Partial
Build / release distribution	✅	❌	✔️ (App Distribution)
Push notifications	✅	❌	✔️ (FCM)
Content management system	✅	❌	❌
Remote config / feature flags	✅	Partial	✔️
Managed app database	✅	❌	✔️ (Firestore)
Cloud / backend code	✅	❌	✔️ (Cloud Functions)
AI agent that operates the backend (MCP)	✅ — one conversation	Partial (query issues)	Partial (assistive)
One connected data model	✅	Single product	Separate consoles
One predictable bill	✅	Per product	GCP usage-based
Language / platform breadth	Mobile-first	30+ languages, web + backend	Mobile + web

One platform vs a pile of services

Sentry does one thing and does it really well: errors and performance. Everything else (analytics, database, CMS, push, delivery) you bolt on around it. That's five more relationships to manage.

Firebase covers more ground, but it's still a collection of separate products: Crashlytics, Analytics, Cloud Messaging, Remote Config, Firestore, Cloud Functions, App Distribution. Different consoles, different mental models, GCP billing underneath, and no CMS at all. The pieces don't line up into a single per-release story on their own.

AppAmbit takes a different bet: one backend instead of six tools. Health and logging, analytics, database, content, push, and delivery all live on the same platform, read from the same data, and land on one bill. You can tie a crash spike to the exact release and the exact users without exporting anything. That connection is the whole point.

To be fair to the incumbents, "one platform" only matters if each part is actually good. If a single capability is your entire job (say, cross-language APM) a specialist might still beat us on it. But if your job is stitching six tools together, the math changes.

What the AI can operate that a stack of tools can't

This is the part a pile of separate tools just can't match.

Point Claude or Cursor at AppAmbit through its MCP server and the assistant doesn't only read your data, it operates the backend. In one conversation it can provision a database, deploy a cloud function, and wire up the app code that calls them. Then keep going in the same chat: publish content, send a push, flip a feature flag, ship an update.

So "add user profiles and a welcome push on signup" turns into real provisioned infrastructure, not a to-do you go implement by hand across three dashboards.

Sentry and Firebase both have some AI in them. Sentry's MCP can query issues, Firebase has assistive tooling. But those only help you ask about one product. Because AppAmbit's backend, data, and app operations all sit on one platform, an agent can actually act across the whole lifecycle from one place. You build the app. One AI conversation builds the backend behind it.

Pricing

AppAmbit starts free, with real usage included rather than a trial. Paid plans run from a small monthly base ($5.99 Starter up to $199.99 Business) plus usage, and you set a hard spending cap so there are no overage surprises.

Sentry and Firebase both have free tiers too. Firebase's is generous, and Sentry's paid plans scale with event volume. But the number that matters isn't a single line item, it's six separate bills and vendors versus one.

So which should you pick?

Go with Sentry if deep, cross-language error and performance monitoring is the main job and you're happy running five other tools around it.

Go with Firebase if you want a broad, proven mobile toolkit and you don't mind operating several Google products and GCP billing as your stack.

Go with AppAmbit if you're a mobile or small team tired of stitching six services together, you want one connected command center on one bill, and you want an AI that can actually operate your backend.

Running six tools that don't talk to each other is a real cost. This comparison is here so you can weigh it against the alternative: one platform, one bill, one place your AI can operate.

See what AppAmbit looks like with your own app. Start free today.

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Roel Leal — Mon, 27 Jul 2026 15:54:45 +0000

Roel Leal

Jul 17

Why we built an MCP server for our mobile backend? (Build in public #1)

#mcp #ai #buildinpublic #mobile

3 min read

The 5 tools your mobile app needs after launch, and how to run them from one dashboard, last one is amazing!

Roel Leal — Sat, 18 Jul 2026 19:36:06 +0000

The hard part starts after launch. Getting into the store is a milestone, but the moment real people open your app a new job begins. You have to keep it stable, understand how it's used, bring users back, and change it without waiting on the app stores. This guide walks through the five tools every app needs the day after launch. For each one you'll see what it does for you, how to get value from it, and why running all five in one connected place makes the whole job much easier.

In short. After launch you need crash and error monitoring, app analytics, push notifications, remote config with feature flags, and build delivery. The real advantage is not just having them. It's having them connected. When a crash, the release that caused it, the users affected, and the fix all live on the same screen, you stop hunting for context and start acting on it.

Why one connected place changes everything

Here's what running a live app actually feels like. A question shows up and you need an answer fast. Did that update break anything? Are new users reaching the part of the app that matters? Which release should I roll back? The speed and confidence with which you can answer those questions is the whole game after launch.

When your tools are separate islands, every answer turns into a small investigation. Your crash reports don't know which version you just shipped. Your analytics doesn't know which users just hit an error. You become the integration layer, copying IDs, exporting spreadsheets, and holding the timeline together in your head. It's not that any single tool is bad. It's that the connections between them, the most valuable part, don't exist.

Centralizing changes the unit of work from gathering data to making a decision. Because everything reads from the same source, the context comes for free. A crash is already linked to its release and the people it touched. A drop in engagement is already sitting next to the version that caused it. The message you want to send already knows about the segment you're worried about. You spend your attention on what to do, not on assembling the picture. That's the point. It makes the day after launch something a small team can actually stay on top of.

Here are the five tools, and how each one gets more useful the moment it shares a home with the others.

1. Crash and error monitoring

What it is. Automatic capture of every crash and handled error your app throws in the wild, grouped so you see distinct issues instead of thousands of duplicate reports.

Why it matters after launch. You will never reproduce every crash on your own device. Real users run older phones, spotty networks, and edge cases you never imagined. Without crash monitoring, your first signal that something is broken is a one star review. With crash monitoring in place, the moment a new issue appears you can see exactly what failed, which device and OS it happened on, and how many users it affects.

How you get value from it. The moment you're alerted, you already know the cause, the affected release, and how many users are impacted. So you can decide instantly whether it's a fix in the next update or a stop the bleeding right now. And because it lives beside your other tools, that decision has somewhere to go. Flip a flag to disable the broken feature, message the affected users, ship the fix. The crash isn't just a report. It's the first step of a workflow you can finish in one place.

2. App analytics

What it is. A live view of who's using your app and how. Active users, sessions, retention, where people drop off, and which versions and devices they're on.

Why it matters after launch. Stability keeps people from leaving. Analytics tells you whether they're getting value. Are new users reaching the moment your app becomes useful, or bailing on the second screen? Did the redesign you shipped last week help or hurt? Analytics turns "I think" into "I know."

How you get value from it. The win is being able to act on what you see without leaving the screen. Spot a drop off on a specific step, and you're one click from targeting exactly those users with a push, or flipping on a feature that smooths the path, then watching the same chart to see if it worked. When analytics sits next to your crash data and your release history, a dip in engagement isn't a mystery. You can see whether it lines up with a new version or a spike in errors, and respond the same afternoon.

3. Push notifications

What it is. The ability to send targeted messages to your users' devices, to everyone or to a precise segment, scheduled or on demand.

Why it matters after launch. Getting a user is hard. Keeping them is the real work. Push is the most direct lever you have to bring people back at the right moment. A new feature, a helpful nudge, a reason to return for users who've gone quiet. Done with the right targeting and timing, it turns a one time download into a habit.

How you get value from it. The leverage comes from sending messages that are informed by everything else you know. Because your notifications share a home with your analytics, the right segment isn't a guess. It's the exact group you just watched drop off, or the users still on an old version, or the people who hit last week's bug. You preview your reach, tailor per platform, schedule it, and then measure the result against the same live metrics. Push stops being a blast and becomes a precise, informed follow up.

4. Remote config and feature flags

What it is. Controls that let you change your live app's behavior without shipping a new build. Turn features on or off, roll them out gradually, post announcements inside the app, and flip a kill switch if something goes wrong.

Why it matters after launch. App store review can take hours to days. If a feature misbehaves in production, you don't want your only option to be submit a fix and wait. Feature flags let you ship a feature dark, turn it on for a small slice of users, watch the metrics, and roll forward, or kill it instantly, all without another store submission.

How you get value from it. This is where having everything together pays off most. You roll a feature out to 5% of users and watch the same dashboard for the crash rate and the engagement numbers to move. If they go the wrong way, you flip the switch. No redeploy, no waiting. The loop of change, observe, and adjust that normally spans three tools and several days collapses into a few minutes in one window. That's control over your live app that genuinely lowers the stress of shipping.

5. Build delivery

What it is. Getting your latest build into the right hands, teammates, testers, or clients, in seconds, and tracking who installed what.

Why it matters after launch. Launch doesn't stop the release treadmill. It speeds it up. Every fix and improvement needs to reach testers and stakeholders before it hits production. Fast, tracked distribution keeps your feedback loop tight, which is what lets you ship confidently and often.

How you get value from it. Delivery is the step that closes every other loop. You catch a crash, build the fix, and get it to testers in seconds, then watch installs and the crash free rate recover, right where you spotted the problem. Because distribution shares a home with your monitoring and analytics, you can always see which release is the healthiest and make sure the good one is the one spreading. Shipping becomes a smooth motion instead of a scramble across tools.

The whole point: one motion instead of five

Notice the thread running through all five. A crash points you to a release. The release shows up in your analytics. Analytics tells you which users to message. A flag lets you change course live. A build carries the fix home, and you watch it all recover on the same screen you started on. That's not five tools sitting side by side. That's one continuous motion.

When everything is connected, the day after launch stops being a scavenger hunt and starts being a set of decisions you can actually make. Quickly, with full context, often by yourself. You spend less time assembling the picture and more time improving your app. For a small team, that difference is the difference between staying on top of your app and drowning in it.

That's the idea behind AppAmbit, the app command center. Crash monitoring, analytics, push, remote config, and build delivery all read from the same data, so each one makes the others smarter, and makes your job simpler.

Your next step

If keeping your live app healthy currently means jumping between tools and stitching the story together yourself, try running it from one place instead. Create your first app on AppAmbit, free and live in minutes. Install once and you'll see real session data within minutes, with all five tools already connected on one screen.

Why we built an MCP server for our mobile backend? (Build in public #1)

Roel Leal — Fri, 17 Jul 2026 17:00:24 +0000

Your AI can already write your app. It just can't run the backend behind it, until now.

Let's start with the idea that made all of this click, because everything else follows from it. MCP, the Model Context Protocol, is a way to let an AI agent like Claude or Cursor actually operate your app's backend by chat, instead of only writing code about it. That one shift is what this whole post is about, and it's what we just shipped for AppAmbit.

Here's the gap it closes. If you build with AI, you know the feeling: the agent designs a feature and writes it flawlessly, then stalls the moment real backend is involved, a place to store data, a function to run on signup, a live piece that has to actually exist. It can describe the work, not do it. So you leave your editor, set things up by hand, and come back. AppAmbit's MCP server removes that detour. Point Claude or Cursor at your workspace, and it builds against AppAmbit directly: spin up a database, deploy cloud functions, and wire the app that calls them. Then keep operating from the same chat, flip a flag, ship an update, and review your crashes, events, and billing without ever leaving the conversation.

We built it specifically for the tools you already use, Claude and Cursor, with scoped access tokens so the agent only reaches what you allow. No new app to learn, no context-switching. It meets you where you already work.

The most important design choice was this: we didn't build one big magic button that tries to do everything. We built a specific tool for each job. There's a tool to create a database, a tool to deploy a cloud function, a tool to flip a feature flag, a tool to ship a build, and tools to review crashes, check events, and see billing right from the console. Each one does a single clear thing. So "spin up a database for profiles and deploy a signup function" becomes one conversation: the agent creates the database, deploys the function, and wires the app that calls it, no separate backend to stand up.

Now the honest part, because that's what building in public is for. Creating the tools turned out to be the easy half. The hard half was getting the agent to reliably choose the right tool at the right moment, and that came down almost entirely to how we described each one. A tool with a vague description is a tool the agent uses wrong: it reaches for the wrong action, or invents parameters that don't exist. Good tool behavior isn't magic, it's good writing.

MCP Server URL

Client MCP Configuration

AppAmbit Docs

And that led to the real lesson. The tool descriptions couldn't live in their own little world, they had to match our documentation and our API exactly. The moment a tool's description drifted from what the docs said, two things broke at once: the agent got confused, and so did any developer reading the docs. So we started treating our documentation and our tool descriptions as a single source of truth. When we change how something works, the docs and the tool description change together, on purpose. That alignment is quietly what makes the agent trustworthy, it and your team are always reading the same story.

The payoff for you is simple. You describe what you want, and AppAmbit's agent actually does it, in Claude or Cursor, with a real database, real cloud code, and your crashes, events, and billing a sentence away. Backend and app, built and operated in one conversation.

Claude MCP AppAmbit

This is the first post in a build-in-public series where we share how we're building AppAmbit, the useful parts and the lessons. If you've built an MCP server yourself, I'd love to hear how you keep tool descriptions and API docs from drifting apart. Follow along on X » AppAmbit.

Take a look about my last post!

Roel Leal — Thu, 09 Jul 2026 21:46:56 +0000

Roel Leal

Jul 8

Your app is live in the stores. How much control do you actually have over it?

#mobile #saas #mcp #devtool

6 min read

Your app is live in the stores. How much control do you actually have over it?

Roel Leal — Wed, 08 Jul 2026 21:32:14 +0000

Shipping isn't the finish line. It's where you start losing control

You hit Submit, clear review, and your app shows up on the App Store and Google Play. Feels like crossing the finish line.

But think about it for a second: that's exactly the moment you hand over a big chunk of control over your own product. Not because you did anything wrong, it's just how the stores work:

If a bug shows up, you can't ship the fix whenever you want, you're at the mercy of the review queue, which can take hours or days.
Your code is now running on devices you can't see. If you didn't instrument something, you have no idea whether it crashed, why, or who it happened to.
Your users are spread across many versions at once, and you don't always know which one is healthy.
And more often than not, you find out about a problem from a one-star review, when it's already too late for a lot of people.

This isn't your fault, or your code's. It's the nature of shipping to a store: once your app is out there, you have less control than you'd like by default.

That's what this post is about. AppAmbit is a console built specifically to get that control back over what's already in production.

One thing up front, so you read the rest with the right context: I work on the AppAmbit team as a mobile developer, and I also use it in my own projects, including an app with around 500 active users. So no, this isn't a neutral review. But it isn't a brochure either: I'll tell you what actually helps me, caveats and all, and you draw your own conclusions.

The idea in one sentence

Getting control back over your production app comes down to four things: seeing what's happening, reacting without depending on the store, deciding who gets what, and owning your data. AppAmbit puts those four levers in one console, one login, one bill. Let's go one by one.

1. See what's happening 👀 (you can't control what you can't see)

The first thing I got back was simply knowing what happens on the other side of the screen.

After every release, crash & error monitoring is the first thing I open: I check whether a new bug showed up right after shipping, grouped and with its stack trace, and who it's happening to. Instead of finding out from a review, I get an email the moment a new issue appears. And I can watch my error rate per session and per version, which for me is the metric that tells me whether a release is healthy or whether I messed up.

When I do have to hunt down a crash, breadcrumbs save me: they record the user's path, which screens they touched before it blew up, so I stopped fighting the classic "I can't reproduce it." Honestly one of my favorite features.

On the growth side, I track my active users and how they trend over time, without waiting 24 hours for the data. And the thing I least expected to love: every week I get a weekly summary of my apps in my inbox, growth, errors, the important stuff at a glance, without having to go dig for it. One of those things you didn't know you wanted until you have it.

2. React without depending on the store (the lever that changes the game most)

This is the most valuable part for me. With remote configuration I change my app's behavior without shipping a new version:

turn features on or off,
do gradual rollouts (10% of users, then 50%, then everyone),
a kill switch in case something goes wrong.

Let's be clear about the scope: this doesn't replace a native code update, it's not magic for skipping the store. But for containing a fire, killing a feature that went sideways instead of shipping an emergency hotfix and praying to the review queue, it's exactly the control the store takes away, back in your hands.

3. Decide who gets what (distribution and communication)

Build delivery: you upload the build and share it with your team, testers, or clients, with install tracking. No need to set up a complicated pipeline if you don't want one.
Push notifications: I use these to keep my users informed a new feature, a maintenance heads-up, something important. I send the notification to the right segment and see the reach preview before hitting send, instead of broadcasting blind.

4. Own your data (and your backend)

AppAmbit also ships an App Database (a managed cloud database) and Cloud Code (run backend logic without maintaining infra), plus an AI agent over MCP to build and operate everything from a conversation with Claude or Cursor (docs here). It's not what I use most day to day, but I like knowing it's there for when the app grows and needs a backend without standing up an infrastructure team.

And yes: it all lives in one console

The bonus of having the four levers under one roof is that the data connects itself. I tie a crash to the exact release and the exact users without exporting anything. One login, one bill, instead of hopping between separate dashboards that don't talk to each other.

What integrating it looks like

Setup is short: you create your app in the portal, get an App Key, drop in the SDK, and initialize with one line. In React Native:

npm install appambit

import * as AppAmbit from "appambit";

AppAmbit.start("<YOUR_APPKEY>");

It looks almost identical everywhere else. In Flutter:

flutter pub add appambit_sdk_flutter

import 'package:appambit_sdk/appambit_sdk.dart';

void main() {
  AppAmbitSdk.start("<YOUR-APPKEY>");
  runApp(MyApp());
}

And in .NET MAUI you just chain .UseAppAmbit("<YOUR-APPKEY>") in your MauiProgram. There are SDKs for iOS, Android, .NET MAUI, Flutter, React Native, .NET, and Avalonia, and they're all open source on GitHub, so you can check what they do under the hood and open an issue if something breaks.

What's missing (let's be fair)

Wouldn't be honest without this part:

It's in beta. APIs and SDKs can change while the team works with early users. In my case, with an app of ~500 active users, it hasn't given me trouble; still, I'd wait a bit before putting it in something mission-critical with millions of users. Depends on your situation.
SDK coverage is growing. The seven above are live today; check that your platform is covered before you commit.
It's young, so the ecosystem and community are just getting started (AppAmbit has a Discord).

Pricing, no fine print

It starts free (10K requests, 50K DB queries, 7-day retention), enough to really try it. My concrete case: with the ~500-active-user app, the ~$6/month plan (Starter) is plenty. For what it costs, plus the option to set a spending cap so there are no end-of-month surprises, it's one of the best price-to-value ratios I found. (Check the site in case the plans change.)

Is it worth a look?

I keep using it in my project, so my honest answer is yes, with the asterisk that it's in beta. If the idea of having more control over your app after you ship it resonates, seeing it, reacting without waiting on the store, deciding who gets what, and owning your data, I think it's worth the ten minutes to create an account and wire it up.

Here are the links so you can draw your own conclusions:

🌐 Web: appambit.com
📖 Docs: docs.appambit.com
🐙 GitHub (open-source SDKs): github.com/AppAmbit

How do you all keep control of your apps once they're live? Do you use something for this, or fly a bit blind? Let me know in the comments 👇

Disclosure: I actively work as a mobile developer on AppAmbit, and I also use it in my own projects. I'm writing this from that dual perspective, as part of the team and as a real user, and I tried to be honest about both what's good and what's still missing.