POLPROG Editorial Team - POLPROG

Editorial Team

Reliable technical knowledge grounded in experience, analysis and verified sources.

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Our mission

Knowledge you can rely on

The POLPROG editorial team produces practical content on programming, web applications, browser extensions, automation, AI and digital tooling. We combine project experience with a transparent research process, so the material is useful both to specialists and to people building their skills.

What sets us apart

What we publish

Guides, tutorials, analyses, comparisons, technology reviews and answers to real user questions.

How we research

We work from documentation, specifications, standards, market data and experience from delivered projects.

How we choose sources

We prioritise vendor documentation, research institutions, standards and established technical publications.

Publication and update dates

Every article carries its publication date and a note about the last substantive update.

Translations

Language versions preserve meaning, technical terminology and context.

Use of AI

AI supports research, structure and editing, but does not replace expert verification of the material.

Corrections

We check content for accuracy and language. Reported errors are fixed as quickly as possible.

How we work

Editorial standard

We follow a transparent editorial process that keeps every piece accurate, consistent and trustworthy.

  1. Topic identification

    We pick subjects that matter in practice.

  2. Research and analysis

    We gather data from credible sources.

  3. Drafting

    We build the structure and prepare the material.

  4. Verification

    We check it against documentation and practice.

  5. Editing and proofreading

    We work on language, consistency and readability.

  6. Publication

    We publish and update when something material changes.

Articles by the POLPROG Editorial Team
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Chrome vs Firefox vs Edge vs Safari: what we learned from shipping 9 browser extensions Claude Code vs OpenAI Codex vs Gemini CLI: the best AI coding agent in 2026 Kimi K3 vs DeepSeek V4: Which Open AI Model Should You Choose in 2026? Kimi K3 vs Claude Fable 5: Which AI Model Is Better for Coding and Agentic Work? Kimi K3 vs GPT-5.6 Sol: benchmarks, pricing, coding and model choice GPT-5.6 Sol vs Claude Fable 5: Which Frontier AI Model Is Better? GPT-5.6 Sol Explained: Features, Pricing, Benchmarks and GPT-5.5 Comparison Will Your AI Feature Pay for Itself?

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