#AI

How We Use AI in Software Development, With People in Control

ByAndrii Kuzmych, Krystyna Teres

18 August 2026 · 9 min read

The Black Box Trap: How to Build AI Agents for Decision-Making You Can Trust

An agent can recommend a loan, flag a patient, or reject a job candidate in milliseconds. Getting that speed is straightforward. The hard part comes later, when a rejected applicant asks why, an auditor wants the reasoning, or a regulator asks who signed off. That is the black box trap: a system that produces answers no one on your team can trace or defend.

ByOleksandr Hutsulyak, Anna Solovei

10 August 2026 · 13 min read

AI Predictive Analytics in Healthcare: What Is It & Benefits

Healthcare is drowning in data. The industry now generates nearly 36% of the world's data, producing 10,800 exabytes of information every year.

ByAlexandr Pihtovnicov, Krystyna Teres

6 August 2026 · 19 min read

Agentic Coding: What It Actually Changes – and What It Doesn't?

Agentic coding can build a working prototype in an afternoon. Whether it can build a product you'd trust in production, alone, without a team, is a different question. That gap is what this article is about.

ByKrystyna Teres, Anton Lukianchenko

16 June 2026 · 9 min read

What Is the Best AI Company in 2026: Overview of Top Companies

The global AI market was estimated at $371.71 billion in 2025 and is projected to reach $2,407.02 billion by 2032, growing at a 30.6% CAGR, according to MarketsandMarkets. That scale has attracted a large and diverse field of AI development companies, which makes choosing the right partner harder.

ByOleksandr Hutsulyak

14 June 2026 · 14 min read

Agentic AI for Healthcare Products: How to Move from Pilot Purgatory to Production

Gartner expects over 40% of agentic AI projects to be canceled by the end of 2027. Across the healthcare industry, the gap is just as stark, with only 21% of organizations reporting mature governance for agentic AI, even as 74% expect to use AI agents by 2027. Production lags far behind.

ByAnna Solovei, Alexandr Pihtovnicov

9 June 2026 · 15 min read

AI Automation in Healthcare: Reducing Administrative Burden and Improving Operational Efficiency

Your clinicians didn't go to medical school to fight with insurance forms. Yet that's where a huge share of their day goes.

ByAlexandr Pihtovnicov, Krystyna Teres

5 June 2026 · 10 min read

Spec-Driven Development vs. Vibe Coding: What's the Real Difference?

By February 2026, 41% of all code written globally was AI-generated. A quarter of Y Combinator's latest batch had codebases that were 95% AI-written. Yet an independent randomized trial found that senior developers were actually 19% slower when using AI tools, while feeling 20% faster.

ByOleksandr Hutsulyak, Anna Solovei

28 May 2026 · 15 min read

Shadow AI: Security Risks and Practical Ways to Manage Them (+Expert Advice)

In February 2025, researchers showed that data from 20,000+ GitHub repositories that were later made private could still be surfaced via Copilot. This impacted 16,000+ organizations. That incident is a clean example of the shadow AI problem: employees adopt powerful AI tools fast, but security teams often can’t see what’s being used in the browser or what data is flowing into it. 

ByIhor Sasovets, Anna Solovei

31 March 2026

HIPAA-Compliant LLMs: Guide to Using AI in Healthcare Without Compromising Patient Privacy

Did you know that 93% of healthcare organizations faced a cyberattack in the past year? Moreover, the average cost of a data breach in healthcare now tops $9.77 million, according to the Ponemon Healthcare Cybersecurity Report.

ByAndrii Kuzmych, Krystyna Teres

5 March 2026 · 13 min read