Back to blogs

From Ticket to Production: A Practical AI Workflow for Developers

Marko M.10 min readJul 8, 2026Technology

Marko M.10 min read

Contents:

The mindset

Step 1 - Start with understanding, not coding

Step 2 - Challenge the requirements

Step 3 - Give AI context

Step 4 - Plan before you build

Step 5 - Implement in small, reviewable steps

Step 6 - Let AI think like a tester

Step 7 - Generate a manual QA checklist

Step 8 - Review before opening the pull request

Step 9 - Don't skip documentation

Step 10 - Tailor release notes

Common mistakes when using AI

What AI still shouldn't do

Final thoughts

Spread the word:

Keep readingSimilar blogs for further insights

Typosquatting, Quishing, and More: The Cyberattacks Hiding in Plain Sight

Josip N.10 min readSep 3, 2026

Typosquatting, Quishing, and More: The Cyberattacks Hiding in Plain SightSmall digital habits can create unexpected security risks. A closer look at typosquatting, fake domains, malicious packages, QR code phishing, and other hidden techniques attackers use to exploit trust and familiarity.

Choosing The Best Tech Stack For Your Web App In 2026

Iva P.9 min readAug 12, 2026

Choosing The Best Tech Stack For Your Web App In 2026Choosing a tech stack is more than coding. Learn how the right tools shape performance, scalability, and user experience in web development. Discover trending stacks and expert insights for 2026.

The Modern Python Workflow: Why uv Changes Everything

Dino G.5 min readJun 24, 2026

The Modern Python Workflow: Why uv Changes EverythingA growing Python ecosystem has created a maze of tools, configurations, and setup steps. uv offers a different approach by bringing Python versions, dependencies, virtual environments, and developer tooling into a single workflow.