A practitioner’s guide to the AI-driven development paradigm reshaping how software is built. Introduction: Vibe Code Meaning Software development has always evolved in step with the tools available to engineers. From assembly language to high-level languages, from waterfall to agile, each wave of change has redefined what it means to “write code.” The arrival of […]
Introduction In 2024, Google’s AI Overviews surfaced an answer suggesting adding glue to pizza sauce, a recommendation widely reported as originating from a joke Reddit comment. This wasn’t a bug in the traditional sense. The AI functioned exactly as designed, predicting plausible-sounding text without any capacity to distinguish satire from sincerity. That incident crystallized a […]
Prompt Engineering Mastery Series Phase 1: Zero-Shot Phase 2: Few-Shot Phase 3: Chain-of-Thought Phase 4: Agents 1. What Phase 4 Actually Is Agent systems move beyond single-prompt interactions to automated workflows where the model decides which tools to use, executes actions, and adapts based on results. You’re no longer writing prompts. You’re designing decision loopsThe […]
Prompt Engineering Mastery Series Phase 1: Zero-Shot Phase 2: Few-Shot Phase 3: Chain-of-Thought Phase 4: Agents 1. What This Phase Actually Is Reasoning strategies teach the model to show its work before giving an answer. Instead of jumping directly to a conclusion, the model breaks down the problem, documents each step, and builds toward the […]
Prompt Engineering Mastery Series Phase 1: Zero-Shot Phase 2: Few-Shot Phase 3: Chain-of-Thought Phase 4: Agents 1. What Phase 2 Actually Is Few-shot promptingA technique where you provide 2-5 input-output examples to demonstrate the desired pattern, then the model replicates that pattern for new inputs. shifts your approach from telling the model what to do […]
Prompt Engineering Mastery Series Phase 1: Zero-Shot Phase 2: Few-Shot Phase 3: Chain-of-Thought Phase 4: Agents 1. What Phase 1 Actually Is Zero-shot promptingA prompting technique where you give the model a task without providing any examples. The model completes the task based solely on your instructions. is where you write a single instruction and […]
In January 2022, researchers at Google Brain published a paper that changed how people interact with AI. Jason Wei and colleagues demonstrated that adding intermediate reasoning steps to prompts (a method they called “chain-of-thought prompting”) improved large language model performance on arithmetic, commonsense, and symbolic reasoning tasks (Wei et al., 2022, arXiv:2201.11903). The technique was […]
Introduction You’ve probably tried it. You type a carefully worded request into ChatGPT, Claude, or your company’s new AI assistant. The model responds brilliantly. You think you’ve cracked the code. Then you try the exact same prompt the next day. Different answer. Or you hand your perfectly tuned prompt to a colleague. It fails. Or […]
Introduction AI coding tools aren’t new. Autocomplete suggestions and inline code generation have been part of the developer toolkit for a few years now. But the latest generation of tools is doing something different. They’re not just finishing your sentences. They’re reading your entire codebase, planning changes across dozens of files, and executing tasks autonomously. […]
Author: Derrick D. JacksonTitle: Founder & Senior Director of Cloud Security Architecture & RiskCredentials: CISSP, CRISC, CCSPLast updated: 11/04/2025 Hello Everyone, Help us grow our community by sharing and/or supporting us on other platforms. This allow us to show verification that what we are doing is valued. It also allows us to plan and allocate resources to improve […]
