The hidden cost of skipping the discovery phase

Time is one of the most valuable assets for businesses: the faster the launch, the better the outcome. But rushing often leads teams to skip discovery, creating bigger problems later.
90% of fintech projects start with the wrong priorities

More than half of fintech startups fail in the early stages, and it’s rarely because of the idea. Mostly, the real problem is wrong priorities at the start. But how do these decisions lead to failure?
Why “Fast Launch” is not “Fast Growth”?

In today’s world, launching a product quickly is often seen as the best strategy. However, many businesses overlook the risks of choosing speed over quality and end up facing major problems afterwards.
The state of software: Key lessons from July 2025

July 2025 brought a mix of breakthroughs and hard lessons for the tech world. From the rise of gray work to the tricky balance of AI productivity, software development is moving faster and getting more complex.
Case Study: The latest updates for Invoice management – E-commerce

A Central Europe based business with an e-commerce appliance store came with a request to serve thousands of daily transactions. It
Chose AI? Now Suffer!

When a product designer set out to help his pregnant wife manage gestational diabetes, he didn’t turn to a developer. He turned to AI. It was just him, GPT, and a goal to create a full-featured health tracker from scratch.
A universal AI employee gets a foot in the IT industry’s door. The Myth vs. Reality

We always hear such phrases as «We do not need developers anymore» or «AI will make you a website overnight» with the growth of generative AI tools.
No PhD needed: Blockchain in LEGO language.

Everyone talks about blockchain like it’s a rocket science, full of words like decentralization, cryptography, and nodes. But what if we told you it’s more like your favorite childhood toy?
Death of Angular or it’s Renaissance?

Spend five minutes scrolling Reddit and you will hear a familiar refrain. “Program code hell”, “madhouse”, “too complex”, “and over-optimized”.
June’s Signals: The Good, the Weird, and the Alarming

If you blinked in June, you probably missed something important. AI systems got quicker, smarter, and, to be honest, more erratic.