Mobile Reality

We can ship a feature in 5 min with AI.

Debugging it? That's the other 5 hours.

66% of devs say AI code is "almost correct, but not quite" — and hunting down those polite little lies takes 20% longer because everything looks fine until it isn't.

Tag a dev who's chasing an AI ghost in production right now 👇

Giving an AI agent full admin access is a decision you regret in production.

We learned this the hard way, somewhere between deployment three and four of the 75+ we've shipped.

The fix isn't fancy. It's just least-privilege architecture:

👉 Isolate the agent in a sandboxed environment (microVMs like Firecracker or gVisor work well). If it breaks, it stays inside a box that vanishes when the task ends. No database wandering. No midnight surprises.

👉 Hand out temporary tokens, not master keys. The agent gets exactly enough access to finish the job, and nothing else. OWASP lists unexpected code ex*****on as the top agentic AI risk. Minimal permissions are the antidote.

👉 Most enterprises are piloting AI but stalling on full production because of security. That's not fear, it's sanity. Sandboxing closes the gap between proof-of-concept and real-world rollout.

Save this post as your simple visual guide to least-privilege AI governance.

POV: you let an AI agent run the repo migration. 🤖

Now it's just merge conflicts.

Turns out only 5.4% of AI runs actually pass a real three-stage migration test. The rest just break things quietly and call it done. 🚨

We still use AI daily. We just don't let it fly solo on the big moves.

Because AI can write the code.
But who's checking what it broke?

Sometimes the smartest move isn't giving AI more control — it's knowing where to keep a human in the loop.

Tag a teammate who's survived an AI hiccup. 😅
Or save this for your next crunch.

In tech, a "long-term partner" often means someone who forgot to cancel.

We do the opposite.

90% of our clients stay with us for 3 to 6 years. Not because they're stuck in a contract, but because they choose to.

We skip the "ship and forget" model. We show up like an internal team that just happens to sit somewhere else. HyperFund recently told Clutch we're "a trusted long-term partner" — someone they expanded their engagement with across multiple statements of work and even through a full corporate restructuring. That kind of trust isn't something you fake.

Our developers feel it too. They watch code they wrote four years ago scale up, break, get rebuilt, and actually win. It's messy. It's real. And it's a lot more satisfying than dropping a repo and moving on.

When did you last have a client or vendor relationship that actually lasted? Tell us below 👇

Our CTO and co-founder Marcin took the stage at WarsawJS Meetup #141 to talk about our open-source project: M**A — Markdown with Mounted Applications 🚀

M**A helps developers build interactive interfaces for AI-powered applications — beyond plain text, with components such as forms, buttons, tables and charts.

Curious to see how it works? Watch Marcin’s talk from 1:52:00 in the WarsawJS Meetup recording 👇

https://www.youtube.com/watch?v=sp1dSJUn3cY&t=1h53m

Huge thanks to the WarsawJS community for the opportunity to share our work! 🙌

⭐️⭐️⭐️⭐️⭐️
Five stars on Clutch! ✨

👉 “We value Mobile Reality’s team responsibility, punctuality, and professionalism... The team is eager, responsible, and highly capable.”

When our client needed a critical feature built to perfection, we didn't just meet expectations — we delivered high-precision engineering where it mattered most.

By leveraging LaTeX for seamless PDF document generation, we ensured every automated email was fast, accurate, and perfectly styled.

Key Highlights:
📄 Flawless PDF generation using LaTeX language
⏱️ Punctual & reliable delivery from day one
🚀 Highly capable engineering focused on real business needs

Whether it's complex technical ex*****on or smooth daily collaboration, we pride ourselves on being a partner you can count on.

💡 Need a development team that combines deep technical mastery with absolute reliability? Drop us a message!

Thousands of documents. Hundreds of rooms. One source of truth. 🏗️

Most construction teams still navigate projects through folder structures.

That works—until a project reaches thousands of drawings, multiple revisions, and dozens of people working on site.

For TURO, we built a cloud platform that replaces folders with something far more intuitive:

📍 Click directly on a room, floor or building element.
📄 Instantly access the latest documentation.
🧠 Use AI-powered semantic search to find documents by meaning, not filenames.

Behind the scenes, the platform combines:

⚛️ React
🟢 NestJS
☁️ AWS
🧠 OpenAI embeddings
🐘 PostgreSQL

plus interactive floor plans, automatic DWG conversion, document versioning and real-time collaboration.

The result?

Construction teams spend less time searching and more time building.

Because software should remove friction—not create another place to store files.

👉 Swipe through the carousel to see how TURO works.

80% of teams test AI agents. Only 14.4% deploy them.

Security is the reason.

Most companies are stuck in pilot mode because they can't trust their agents in production.

We ship anyway.

For HyperFund AI, we built a platform that generates fundraising materials 95% faster using serverless Cloudflare Workers, PostgreSQL with row-level security via Supabase, and encrypted storage.

Zero security incidents 🔒 and a 5-star Clutch review.

Gartner predicts over 40% of agentic AI projects will be canceled by 2027 due to inadequate risk controls. Security funding is surging, but money doesn't fix bad architecture.

If your AI experiments never make it to production, DM us. We'll show you how secure deployments actually work.

Our channel turned a lunch question into a thread long enough to need pagination.

We have 30+ developers across Warsaw and remote desks, and Slack is basically our second office.

Here is what happens when we are not writing code:

• Custom emoji inflation. We have a :party_parrot: for every deploy status. Staging gets a slow blink. Production gets sunglasses 🦜

• Git commit poetry exists here. Haikus for bug fixes. Movie quotes for refactoring. Code review is now part literary criticism.

• Morning standup does not start until someone shares a coffee photo. No mug, no standup ☕

• Flaree interrupts everything. Since we built our own peer recognition tool for Slack, appreciation posts drop into threads constantly. Nothing ends a lunch saga faster than a shoutout for fixing CSS.

These small moments keep a 30+ person team feeling like a group chat.

What is your team's weirdest Slack ritual? Drop it below, or tag the colleague who starts the longest threads.

🚀 75+ production automations deployed.

This is what happens when AI moves beyond demos and starts solving real business problems.

As an Official Make.com Partner, we don't just build automations—we connect AI models like OpenAI and Claude with the systems companies already use every day.

Think:

🔗 CRM platforms
📊 ERP systems
💬 Slack
📈 Reporting tools
🗄️ Legacy infrastructure

The result?

AI that becomes part of your business—not another isolated tool.

What makes the difference isn't the model itself. It's the architecture behind it.

That's where Make.com becomes the glue between intelligent agents and production-ready workflows.

💡 We've already delivered 75+ production automations, helping companies reduce manual work, eliminate repetitive tasks, and build workflows that scale.

If you're curious how we approach AI automation in production, we've shared the full methodology in our Business Automation with AI Agents article.

👇 What's the biggest challenge you've faced when connecting AI with your existing systems?