Utah Tech Labs

Utah Tech Labs We Help Automate Your Business

10/29/2026

AI can write, test and fix your code. It can't be accountable for it. That's still the developer's job.

Shipping an app built with AI? Get a free launch audit: https://www.utahtechlabs.com/launchpad-2

10/29/2026

Claude Code wrote the GitHub Actions pipeline. Merge, then lint, test, build and publish to the container registry, with no manual YAML.

Shipping an app built with AI? Get a free launch audit: https://www.utahtechlabs.com/launchpad-2

10/29/2026

One prompt: "Fix all the issues, rerun the project, check every endpoint." Everything came back green.

Shipping an app built with AI? Get a free launch audit: https://www.utahtechlabs.com/launchpad-2

10/29/2026

Claude Code posted its findings straight to the PR: critical, major and minor issues, plus what was done well. That's a review a junior dev can act on.

Shipping an app built with AI? Get a free launch audit: https://www.utahtechlabs.com/launchpad-2

10/29/2026

The container crashed. Claude Code found the root cause (a non-root user and a hardcoded path) and fixed it before we touched anything.

Shipping an app built with AI? Get a free launch audit: https://www.utahtechlabs.com/launchpad-2

10/29/2026

The PR said the tests passed. Claude Code ran it in Docker (demo repo) and only 2 routes worked, plus a SQL injection. Surface checks lie.

Shipping an app built with AI? Get a free launch audit: https://www.utahtechlabs.com/launchpad-2

10/28/2026

"Tests passed." That's what the pull request said. Then Claude Code ran it in Docker and only 2 routes worked, with a SQL injection on top.

Samprit S., our Technical Project Manager, walks through how he uses Claude Code to review code, fix it and ship it through CI/CD. It's a demo repo, but this is his real daily workflow. Full 15-minute walkthrough in this video.

Building an app with AI? Get a free launch audit before your users find the bugs: https://www.utahtechlabs.com/launchpad-2

10/26/2026

Tight Deadlines. High-Quality Delivery. How AI Is Changing Project Management.

Imagine connecting Claude Code with your project management tools, meeting transcripts, and team communication platforms to automate the repetitive work that slows your business down.
In this video, Kevin shows how AI can integrate with tools like Jira and Confluence using API tokens to build smarter, more connected workflows.

The goal isn't just to use AI to write code. It's to make your existing tools work together, reduce manual work, and give your team more time to focus on what matters.

🚀 Stop experimenting with AI. Start putting it to work.

Follow Utah Tech Labs for practical insights on AI integration, workflow automation, and building more efficient businesses.

🎯 Need help managing projects better, delivering on time, and maintaining high quality?
đź“© DM us. Let's explore how AI and smarter workflows can help your team deliver better results.

10/22/2026

I used AI to build my software platform... so why isn't it ready to launch?" 🤔

A lot of small business owners are finding out the hard way that generating lines of code is the easy part. In fact, code is less than 30% of a real software business.
If you're trying to launch a SaaS platform, a mobile app, or a custom tool, an AI prompt won't handle the heavy lifting that actually keeps your business alive:

🛑 It won't secure your database against leaks.
🛑 It won't optimize your cloud setup to prevent a massive server bill.
🛑 It won't wire up your CRM to track why trial users are dropping off.

Taking a product to live production requires real engineering discipline—not just fast generation.
Before you launch your software to real paying users, let’s audit your backend infrastructure and data pipelines so it doesn't crash on day one.

Message us directly to review your tech stack and map out your deployment strategy. https://www.utahtechlabs.com/free-consulting-grow-2

09/02/2026

Most AI tools are designed to know a little about almost everything.

That’s exactly why they can struggle with work that is highly specific to your business.

Construction drawings. Manufacturing components. Technical documents. Internal processes. Industry-specific workflows.

All of them contain context that a general-purpose AI model doesn’t automatically understand.

Before an AI agent can perform that work with precision, the data behind it has to be properly structured, annotated, validated and quality-checked.

Utah Tech Labs helps businesses turn that sleeping data into working AI—using the right combination of domain-aware data preparation, model calibration, RAG and AI agents.

The goal isn’t simply to use AI.

It’s to build AI that understands how your business actually works.

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13894 S Bangerter Pkwy Ste 200
Draper, UT
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