Guaeca

The Real Cost of Requirements Errors in Software Projects Ever been on a project where last-minute changes threw everything off track? I came across this eye-opening chart from Professor Jo(anne) M. Atlee at University of Waterloo that shows just how expensive it can be to fix requirements errors at different stages of a project. Here's the gist: 💡 Early Fixes (Requirements Phase): Costs are super low. 🛠️ Design & Coding: Costs start creeping up. 🔍 Unit & Acceptance Testing: Getting pricier, but still manageable. 🚀 Post Release: Yikes! Costs can explode up to 200 times more! The takeaway? Catch those errors early! It’s way cheaper and saves a ton of headaches down the line. Investing time in thorough requirements analysis upfront can make all the difference. #ProjectManagement #SoftwareDevelopment #LessonsLearned #CostSavings

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🤖 GenAI Challenge ! 🔍 Step 1: Generate a prompt that can extract detailed descriptions from an image. 🎨 Step 2: Use another GenAI to recreate the image based on the extracted details. 🛠️ My prompt and result in the comments. #GenAIChallenge #Promptengineering #CreativeAI #TechInspiration #GenerativeAI

Is Your Industry Fully Leveraging the Power of Large Language Models (LLMs) Yet? 🚀 Provocative Question: If AI can assist up to 40% in critical development stages, what will be the strategic response of companies? Will they seize the opportunity to expand and take on more projects, or will they opt to reduce the workforce, leveraging AI to maintain output with fewer employees?

"Have you noticed how AI models are growing in size, in terms of the number of parameters, over the last five years?"

You are #learningAI ? .. I just figured out that design a logo for my company with chatGPT DALL-E was a good exercice. After many tries and differents prompts I decided to stop. Let's see if I can get better next month after some more trainings !