The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Fast teams need speed, but speed without quality creates risk.
Every time a new feature is added or a bug is fixed, there is a chance something else breaks. That is where automation testing helps.
Automation is useful for repeatable flows like login, signup, forms, checkout, dashboard actions, search, filters, and regression checks.
I work with Selenium and Cypress to help teams cover important flows and reduce repeated testing effort.
But automation should not be added randomly. The right approach is to first understand the product, identify the most important user journeys, and then automate the flows that bring real value.
Good automation does not replace QA thinking. It supports it.
Free consultation or quick QA overview available.
#AutomationTesting #Selenium #Cypress #RegressionTesting #QAEngineer #SoftwareTesting #ReleaseTesting
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
Claude
Claude has entered the design space. How are you using Claude Design?
Contra University
Learn from expert creatives how to earn more using next-gen AI tools.
creativeaiflow
Creative AI workflows are evolving. What tools do you use, and what are their strengths and weaknesses?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?
Related posts
𝗠𝗼𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗱𝗼𝗻'𝘁 𝗻𝗲𝗲𝗱 𝗺𝗼𝗿𝗲 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀.
They need fewer manual tasks.
I've noticed a pattern.
A company buys ChatGPT.
Then Copilot.
Then another AI tool.
Six months later...
The team is still copying data between apps.
Still following up with leads manually.
Still sending the same emails every week.
The problem was never the lack of AI.
It was the lack of a system.
AI becomes valuable when it's part of a workflow.
When a lead fills out a form...
AI qualifies it.
The CRM updates automatically.
A personalized email is sent.
The team gets notified.
Everything is tracked without anyone touching it.
That's where the real time savings happen.
The goal isn't to use AI.
The goal is to eliminate repetitive work so people can focus on work that actually requires them.
That's why I'm spending most of my time building AI agents and automation systems rather than collecting the latest AI tools.
𝗧𝗼𝗼𝗹𝘀 𝗰𝗵𝗮𝗻𝗴𝗲. 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝘀𝗰𝗮𝗹𝗲.
What's one repetitive task in your business that you wish you never had to do again?
AI Is Changing How We Build Software
Software development is changing faster than ever.
Writing code is no longer the slowest part of a project.
Understanding the problem is.
At LuvionSoftware, we see AI as a development accelerator—not a replacement for engineering.
Here's where AI creates the most value:
→ Exploring different implementation approaches
→ Generating boilerplate code
→ Writing tests faster
→ Reviewing existing codebases
→ Explaining unfamiliar projects
→ Speeding up documentation
But the most important decisions still belong to developers.
Architecture.
Business rules.
Security.
Performance.
System design.
Those aren't problems you solve with a single prompt.
The future isn't:
"AI builds everything."
It's:
Human expertise + AI execution.
The teams that learn to combine both will build software faster without sacrificing quality.
At LuvionSoftware, that's exactly how we approach modern software development.
Build smarter. Review carefully. Ship confidently.
How has AI changed your development workflow this year?
