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4 articles
# AI is Not Magic – Why Prompt Engineering Isn't Enough Briefing - Core idea: Prompting is only half the job — the other half is supplying precise, relevant context. Treat AI like a new, very capabl...
# What Good Context Looks Like — Practical Patterns Using AI well isn’t about accumulating prompts or copy‑pasting recipes. It’s about feeding the model the minimal, relevant, and structured context ...
# Iterating Prompts and Workflows — When to Fix and When to Restart This article is the operational layer: short, repeatable rules I use to decide whether to correct in the same session or to reset a...
# Context Is Everything — But Not All Context Is Useful When people talk about "giving the model context" they often mean "dump everything I have into the session." That rarely helps. The real art is...
27 articles
# Prompt Is Not Enough. If AI Doesn't Know What You Want, You'll Get Random Results Imagine meeting a random colleague on the street and telling them: _"Dark Roasted Peru, Bean Lovers, sweet taste f...
# What Good Context Looks Like - Something AI Understands on First Try In the previous article, I wrote that AI is like a colleague who knows nothing but can learn everything. Today I'll show you exa...
# Why You Give Much and Get Little (And How to Change It) "AI output is unusable" - I hear this constantly. Many people don't use AI precisely because of this. But the problem isn't AI. The problem i...
# Think Like an Engineer - Break Down Problems, Not Prompts What I've used at work for 20+ years, I also use with AI: break down problems into atomic parts and go step by step. It's like telling a st...
# AI Won't Steal Your Job - But It Can Put You in a Higher League "Overcome yourself and AI is an assistant that will help you with that." This applies to humanity too. It shouldn't be that AI repla...
# Tools I Use - And Why These Specifically People often ask me what AI tools are best. The answer isn't about which is "the best" overall. It's about which is best for a specific thing. Each tool has...
# Context Engineering for Teams - How to Introduce It Without Chaos "QA is about to become a huge bottleneck in software development," George Arrowsmith recently wrote on LinkedIn. He's right. AI all...
# Practical Context Engineering Examples - From Theory to Practice Enough theory. I'll show you concrete examples of how I use Context Engineering in real situations. Each example contains bad and go...
# From Vibe Coding to Context Engineering - Why Hype Isn't Enough There's currently big hype around "Vibe Coding." For those who don't know it, here's the process: - You give a prompt, like "program...
### CodeCon ZA presentation notes Topic: Nie prompt, ale kontext prináša výsledok Description: Väčšina AI zlyhaní nevzniká kvôli promptom, ale kvôli chýbajúcemu kontextu. V prednáške ukážem, ako sa z...
# Context Engineering Guide - Document Specification ## Version: 1.0 ## Date: 2025-11-28 --- ## 1. Audience ### Primary Audience - **Who:** Developers, technical professionals using AI tools - **K...
# Context Engineering: A Practical Guide **By Oliver Kriška** *2025* --- # Introduction Imagine meeting a random colleague on the street and telling them: *"Dark Roasted Peru, Bean Lovers, sweet...
# LinkedIn Post - Článok 1/9: Prompt nestačí Predstavte si, že v prvý deň nastúpi geniálny kolega. Je rýchly, dostupný 24/7, ale o vašom projekte nevie nič. Poviete mu len „sprav mi appku“ a odídete...
# LinkedIn Post - Článok 2/9: Ako vyzerá dobrý kontext "Používateľ nevie editovať profil, oprav to" Toto bol skutočný task, ktorý som dostal. Support potvrdil, že používateľ je admin. Malo by fungov...
# LinkedIn Post - Článok 3/9: Prečo dávate veľa a dostávate málo "Výstup z AI je nepoužiteľný" - počúvam to neustále. Problém nie je AI. Keď som začínal, robil som presne to, čo možno robíte teraz: ...
# LinkedIn Post - Článok 4/9: Myslite ako inžinier Čo používam v práci 20+ rokov funguje aj s AI: rozdeľovať problémy na atomické časti. Je to irónia. Dať AI veľký task často trvá DLHŠIE ako rozdele...
# LinkedIn Post - Článok 5/9: AI vám nevezme prácu "Prekonať seba a AI je asistent, ktorý vám s tým pomôže." Najprv sa cítite ako podvodník. AI generuje kód/text/dizajn a vy máte pocit, že ste nič n...
# LinkedIn Post - Článok 6/9: Nástroje, ktoré používam (a prečo) Ľudia sa ma často pýtajú, aké AI nástroje sú najlepšie. Zlá otázka. Správna otázka: ktorý nástroj na akú prácu? Moje nastavenie: - P...
# LinkedIn Post - Článok 7/9: Context Engineering pre tímy "QA sa stáva obrovským bottleneckom v softvérovom vývoji." - George Arrowsmith Má pravdu. AI generuje kód rýchlo. Ale niekto musí overiť, ž...
# LinkedIn Post - Článok 8/9: Praktické príklady, ktoré naozaj fungujú "Optimalizuj tento query: SELECT * FROM orders WHERE status = 'pending'" AI pridá index. Stále pomalé. Prečo? Chýba kontext. S...
# LinkedIn Post - Článok 9/9: Vibe Coding vs Context Engineering Vibe Coding z roku 1970? My tomu hovoríme Borovička. Ako programátori po nápojoch majúci "geniálne nápady", ktoré neskôr vytvárajú ch...
# LinkedIn Publication Schedule - Context Engineering Series ## Overview - **Total Posts:** 9 - **Duration:** 3 weeks - **Frequency:** 3 posts per week (Tuesday, Thursday, Friday) - **Best Times:** 8...
# Completeness Review Results ## Date: 2025-11-28 ## Reviewer: Claude (Automated) ## Status: PASS - Minor Issues --- ## Summary | Dimension | Status | Issues Found | |-----------|--------|--------...
# Technical Review Results ## Date: 2025-11-28 ## Reviewer: Claude (Automated) ## Status: PASS --- ## Summary | Area | Status | Issues | |------|--------|--------| | Factual Accuracy | ✅ Pass | 0 ...
# Context Engineering Guide - Revised Syllabus ## Version: 2.0 ## Date: 2025-11-28 ## Status: Approved for Writing --- ## Change Log | Version | Date | Changes | |---------|------|---------| | 1.0...
# Context Engineering Guide - Syllabus ## Version: 1.0 ## Date: 2025-11-28 ## Status: Draft --- ## Content Inventory ### Main Articles (9 articles) | # | File | Title | Main Topics | Est. Words |...
# X/Twitter Post - Article 1: Your Prompt Isn't the Problem ## Option 1 (Hook + Question) Your prompt isn't the problem. Your context is. "Write me a expense tracker" → Generic mess "Write expense t...
7 articles
# Proactive vs Reactive: Rethinking How AI Gets Its Context **Author:** Matthew Denman **Date:** October 10, 2025 **Title:** Enterprise AI Architect & Speaker | Full-Stack AI Platform Builder | AWS A...
# Stop Prompting. Start Briefing. **Author:** Tomas Cupr **Date:** August 10, 2025 > "Thinking" ChatGPT class models are landing in more hands. Results still vary. The difference is not magic, it is...
# Effective context engineering for AI agents **Source:** Anthropic Engineering Blog **URL:** https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents --- After a few years...
# Prompts vs. Context **Author:** Drew Breunig **Date:** June 25, 2025 **Source:** https://www.dbreunig.com/2025/06/25/prompts-vs-context.html --- I'm not the only one thinking about how context ma...
Nie prompt, ale kontext prináša výsledok Oliver Kriska CodeCon ZA 2025 --- Čo vidíte? Obrázok: Orezaná fotka - ostré zuby, tmavé pozadie Vyzerá ako nebezpečné, agresívne zviera --- Ten istý obrá...
# Prezentácia - Slovenská verzia (hovorené slovo) **Téma:** Nie prompt, ale kontext prináša výsledok **Dĺžka:** 20 min + 10 min Q&A --- ## HOOK: Dvojitý úder (2 minúty) ### Časť 1: Obrázok so zuba...
# CodeCon ZA Presentation Structure **Topic:** Nie prompt, ale kontext prináša výsledok **Duration:** 20 min + 10 min Q&A **Audience:** ~1000 (developers, managers, HR, CEOs) **Speaker:** Oliver Kris...
10 articles
# Guide Creation Plan - Overview ## Project: Context Engineering PDF Guide ### Purpose Create a comprehensive, shareable PDF guide on Context Engineering based on existing articles, interviews, and ...
# Step 9: Final Checklist & Publication ## Goal Final pre-publication checklist and guide assembly. Ensure everything is ready for distribution. --- ## Pre-Publication Checklist ### Content Qualit...
# Step 1: Syllabus Creation ## Goal Create a structured outline of all topics that will be covered in the guide. This becomes the backbone of the entire document. --- ## Inputs Required | Input | ...
# Step 2: Topic Deep Analysis ## Goal Create a detailed analysis document for each topic/chapter in the syllabus. These documents will serve as the "research file" for writing each chapter. --- ## ...
# Step 3: Topic Review & Restructure ## Goal Review all topic analyses and determine if the original syllabus structure is optimal. Merge, split, reorder, or add topics as needed based on what the an...
# Step 4: Document Requirements Analysis ## Goal Define all requirements for the final markdown document: format, style, structure, visual elements, and technical specifications. This becomes the "st...
# Step 5: Introduction Writing ## Goal Write the introduction that sets the stage for the entire guide. This is often the most important part - it determines whether readers continue or stop. --- #...
# Step 6: Chapter Writing ## Goal Transform topic analysis documents into polished chapters. This is the main execution phase where the guide content is created. --- ## Inputs Required | Input | S...
# Step 7: Completeness Review ## Goal Verify that the written guide covers all planned topics, maintains consistency, and has no gaps. This is a content-focused review, not a technical one. --- ## ...
# Step 8: Technical Review ## Goal Final quality check focusing on technical accuracy, formatting correctness, readability, and export-readiness. This is the last review before publishing. --- ## I...
11 articles
# Introduction Imagine meeting a random colleague on the street and telling them: *"Dark Roasted Peru, Bean Lovers, sweet taste from South America"* They probably won't understand what you want. Ma...
# Part 1: Understanding Context Engineering --- # Chapter 1: Why Your AI Prompts Fail For a long time, I thought AI was like a search engine on steroids. Give it a question, get an answer. Then I t...
# Chapter 2: What Good Context Looks Like In the previous chapter, we saw why prompts fail without context. Now let's look at exactly what "good context" looks like—the practical patterns that get re...
# Part 2: The Practice --- # Chapter 3: Before You Prompt - Preparation You wouldn't hand a new colleague a sticky note saying "fix the app" and expect perfect results. Yet that's exactly how most ...
# Chapter 4: During and After - Iteration AI gave you something wrong. Do you send "sorry, I meant..." and hope for the best? Or do you know when to fix, when to restart, and how to actually teach AI...
# Chapter 5: Tools and Workflows People ask me which AI tool is best. Wrong question. The right question is: which tool is best for *what*? In this chapter, you'll learn: - How to divide tools by ta...
# Part 3: Real-World Application --- # Chapter 6: Practical Examples Enough theory. Let me show you exactly how context engineering looks in practice—six real examples with before and after compari...
# Chapter 7: Context Engineering for Teams "AI is hype, it doesn't work." I've heard this from teams who bought licenses, did 2-hour training, and expected magic. Here's what they missed. In this ch...
# Part 4: The Bigger Picture --- # Chapter 8: Vibe Coding vs Context Engineering Four months of work. Gone. No backups. No Git. Just AI and vibes. This is Vibe Coding's reality check. In this chap...
# Chapter 9: AI Won't Replace You At first, you feel like a fraud. AI generates the code, the text, the design—and you feel like you did nothing. Here's why that feeling is wrong. In this chapter, y...
# Appendix Quick reference materials for daily use. --- ## A: The 10 Key Advices ### Before You Prompt (5 Advices) | # | Advice | What It Means | |---|--------|---------------| | 1 | **Give the W...
9 articles
# Topic Analysis: Chapter 1 - Why Your AI Prompts Fail ## Metadata - Syllabus Reference: Part 1, Chapter 1 - Primary Sources: Article 1 (Prompt Is Not Enough), Article 9 (Vibe Coding) - Secondary Sou...
# Topic Analysis: Chapter 2 - What Good Context Looks Like ## Metadata - Syllabus Reference: Part 1, Chapter 2 - Primary Sources: Article 2 (What Good Context Looks Like), Article 7 (Teams) - Seconda...
# Topic Analysis: Chapter 3 - Before You Prompt - Preparation ## Metadata - Syllabus Reference: Part 2, Chapter 3 - Primary Sources: Articles 1-4, Presentation - Secondary Sources: Interview Q1-5 - A...
# Topic Analysis: Chapter 4 - During and After - Iteration ## Metadata - Syllabus Reference: Part 2, Chapter 4 - Primary Sources: Articles 2, 3, 4, 9 - Secondary Sources: Interview Q6-7, Q11 - Analys...
# Topic Analysis: Chapter 5 - Tools and Workflows ## Metadata - Syllabus Reference: Part 2, Chapter 5 - Primary Sources: Article 6 (Tools I Use) - Secondary Sources: Interview Q12-13, Article 2, Arti...
# Topic Analysis: Chapter 6 - Practical Examples ## Metadata - Syllabus Reference: Part 3, Chapter 6 - Primary Sources: Article 8 (Practical Examples) - Secondary Sources: Article 5, Interview Q15 - ...
# Topic Analysis: Chapter 7 - Context Engineering for Teams ## Metadata - Syllabus Reference: Part 3, Chapter 7 - Primary Sources: Article 7 (Context Engineering for Teams) - Secondary Sources: Artic...
# Topic Analysis: Chapter 8 - Vibe Coding vs Context Engineering ## Metadata - Syllabus Reference: Part 4, Chapter 8 - Primary Sources: Article 9 (Vibe Coding vs Context Engineering) - Secondary Sour...
# Topic Analysis: Chapter 9 - AI Won't Replace You ## Metadata - Syllabus Reference: Part 4, Chapter 9 - Primary Sources: Article 5 (AI Won't Steal Your Job) - Secondary Sources: Interview Q16, Q22, ...
1 article
20/11/2024, 15:16 Search is not magic with PostgreSQL \| by Oliver Kriška \| Oct, 2024 \| Medium Open in app ...