📚 KNIFE – Knowledge In Friendly Examples
Without Communication there is no Understanding. Without Understanding there is no Trust. Without Trust there is no Collaboration. Without Collaboration there is no Synergy. Without Synergy there is no Success.
What is KNIFE?
KNIFE is a personal knowledge base built on real experience — not theory for its own sake.
Each article (K-item) captures a concept, framework, or approach that has proven valuable in practice — across business analysis, enterprise architecture, solution delivery, testing, operations, and everything in between.
The name says it directly: Knowledge In Friendly Examples. Not academic papers. Not vendor documentation. Practical knowledge, grounded in context.
Who is it for?
- Practitioners across the SDLC — architects, analysts, developers, testers, operations teams
- Students entering the world of IT solution delivery
- Managers and leaders who need to understand the landscape, not just manage it
- Anyone who believes that context matters before any tool, method, or technology is chosen
What can you expect here?
Each KNIFE article follows a consistent structure:
| Section | What it contains |
|---|---|
| 🎯 What it solves | The problem or question the concept addresses |
| 🧩 How it solves it | The principle, framework, or approach |
| 🧪 How to use it | Practical application and criteria |
| ⚡ Quick Guide | Visual overview — diagrams, models, examples |
| 📜 Detailed Article | Full explanation with context and connections |
| 💡 Tips and Notes | Lessons learned, edge cases, pitfalls |
| ✅ Summary | Key takeaways and bridges to related topics |
Articles are interconnected. One concept leads to the next — intentionally.
Where to start
If you are new here, start with the foundations:
- K000101 – Cynefin Framework — how to classify problems before choosing solutions
- K000103 – Context Aware Approach in SDLC — why context must be understood before any technology decision
- K000104 – SPARX AI KERNARO in SDLC — AI as a quality catalyst, not a shortcut
- K000106 – SSOT and TSSOT — Single Source of Truth and Trusted Single Source Of Truth
Browse the collection
| View | Best for |
|---|---|
| 📰 Blog | Latest articles, chronological feed |
| 🗂 List | Overview with status and priority |
| 📊 Details | Full metadata, tags, authors |
A note on quality
AI is not a shortcut. It is a catalyst — for those who are prepared.
The knowledge here reflects 25+ years of personal experience across every phase of the SDLC — from business concept to operations. It is built incrementally. Not everything is finished. Some articles are drafts, some are works in progress.
That is intentional.
A drop wears through stone — not by force, but by consistency.
License: CC-BY-NC-SA-4.0 Author: Roman Kazicka · LinkedIn · knifes.systemthinking.sk