#AI

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

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

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

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

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

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

HealthTech

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

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

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

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

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

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

HealthTech

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

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

Why Vibe Coding Projects Break in Production and How to Prevent It

AI tools can now generate working software in minutes. A founder can describe an idea, press enter, and get a prototype the same day. The speed feels revolutionary, but many teams hit the same wall a few weeks later: the code works in a demo but breaks under real-world circumstances.

ByAnton Lukianchenko, Anna Solovei

4 March 2026 · 11 min read

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Why Vibe Coding Projects Break in Production and How to Prevent It

How to Choose the Right AI Development Partner

Seventy percent of companies are testing AI, yet fewer than one in three see real financial returns. Many teams start with excitement and end with a stalled pilot, unclear ROI, or a system that works in a demo but fails in production.

ByAnton Lukianchenko, Anna Solovei

2 March 2026 · 11 min read

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How to Choose the Right AI Development Partner

AI MVP Development: A Step-by-Step Execution Guide and Best Tools

More than 80% of enterprises are expected to use generative AI in production by the end of 2026. Yet many AI initiatives still stall before they deliver measurable value. Budgets are approved, models are tested, and demos look impressive. But once exposed to real users, the results often fall short.

ByAnton Lukianchenko, Anna Solovei

27 February 2026 · 15 min read

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