Prompt Engineering

Have you ever been at a situation where you have been recently hired to maintain a legacy project, an...

Every few months, I see another post declaring: "Prompt engineering is dead." Usually, the argument goes something like this: AI models are getting smarter. The

AI tools are powerful, but many people do not get good results because of simple mistakes in how they write prompts. Learning how to avoid… Continue reading on

 This is part of my 60-Day Agentic AI Series Continue reading on Medium »

A few years ago, knowing a programming language was enough to stand out as a developer. If you could build a website, create an API, or… Continue reading on Med

The gap between a mediocre AI response and a brilliant one is often just the quality of your prompt — here’s how to close it. Continue reading on Medium »

I used to write prompts the way most people do: a block of text describing what I wanted, hit enter, and hope for the best. Continue reading on Medium »

No matter how technical it sounds, prompt engineering is a leadership skill that requires better thinking and a clear goal. Continue reading on ILLUMINATION »

I've seen countless prompting trends and prompt packs to use but most discussions around prompt...

The difference between a mediocre AI output and a game-changing one often comes down to a single factor: how you ask. In a $107 billion… Continue reading on Med

A practical blueprint for organizing prompts that produce consistent AI output — with copy-paste templates for real dev tasks. Continue reading on Medium »

Prompt engineering notes covering basics, prompts, and techniques overview Continue reading on Medium »

Learn how to fine-tune AI models with practical steps. Covers LoRA, full fine-tuning, dataset prep, and when fine-tuning beats RAG or prompt engineering. Real e

The industry spent 2024 obsessing over prompt engineering. In 2026, the developers getting the best results from AI coding agents have quietly moved on to somet

Prompt engineering optimizes how you ask. Context engineering optimizes what information surrounds the ask. Here are 4 production patterns with working Python c

The AI Coding Paradox: More Code, More Problems? The headline is everywhere: "90% of Code...

Despite improvements in coding agents, single-pass prompting rarely produces production-quality...

Static jailbreak lists are dead. Every time a model provider patches their safety filters, your...

Your AI agent just got its 53rd skill installed. Image generation, video creation, social media...

Stop tweaking words. Start designing systems. Five production prompt patterns — routing, fallback chains, structured output, validation loops, cost tr

While learning about structured outputs, I noticed something strange. Almost every tutorial, course,...

In the world of LLMs, we’ve all seen the "classic" jailbreaks—those clever, human-written prompts...

Freelancers spend 10+ hours a week on admin. These 5 Python scripts use OpenAI structured outputs to automate proposals, reports, invoices, emails, and scope do

Compare the top structured output libraries for LLMs -- Instructor, PydanticAI, Outlines, Guidance, and Zod. Side-by-side on features, approach, and best use.

Learn 4 context engineering strategies for AI agents with runnable Python code. Budget your context window, compress history, and inject tools dynamically.

Most QA engineers who try AI and conclude "it's not that useful" are right, but for the wrong...

Saju-to-video pipeline. 4 commits. Architecture → scaffold → review → ship. The prompting pattern that kept 5,800 lines coherent.

Your AI coding agent just read your .env file. Not on purpose. You asked it to fix a bug in your...

LLMs are impressive text generators, but production applications need more than prose. You need...

I'll be honest with you — I was spending more time writing prompts than actually writing...

When people talk about AI, the conversation usually goes straight to model quality, prompt design, or...

Give your AI agents a proper output surface. Integrate the OpenAI Agents SDK with SurfaceDocs to turn structured agent output into shareable documents with zero

Power Your Azure AI Agents: Function Calling, Code Interpreter, and File Search In Part 1,...

Most prompt guides teach chat tricks. These 5 patterns solve real production problems — with working Python code for each.

You wake up in the middle of the night, mind racing. "What if I fail? What if everything goes wrong?...

Context windows keep growing. 200k tokens. A million. The assumption is that bigger windows mean...

The first version went live at 2:17 a.m. Not a launch party. Not a thread. Not a cinematic build in...

For the last year, developers have been obsessed with building the "perfect prompt." A 5,000-word...

Why prompt engineering is starting to look less like programming — and more like education at planetary scale.

You are building a Skill, an MCP server, or a custom prompt strategy that is supposed to make an AI...

Introduction Stop obsessing over your "System Prompt." Seriously. If your current AI...

Nobody knows when a prompt got worse. I mean that literally. A teammate tweaks a system prompt on...

Learn how to extract structured JSON data from unstructured text using Claude with effective prompting patterns. Start improving your data extraction now!

You sit before a glowing screen. You formulate a question with care, choosing each word for maximum...

Prompt engineering has moved beyond “ask a question, get an answer.” In real applications, we often...

Every few months, a new model drops. More parameters. Longer context windows. Better...

Add one line of code to stop reprocessing static system prompts on every API call. Real benchmarks across 3 Nova models — 49% savings with caching alone, 97% wh

Learn the 4 control layers that make LLM systems reliable in production—beyond prompt engineering