1AML Mundo Licks

Over the past three days, I built 5 different AI-powered tools to explore productivity, code generation, and automation. Here’s a quick summary of what worked, what didn’t, and lessons for developers looking to experiment with AI themselves. 🔹 Tool 1: Auto-Code Snippet Generator Worked well for: quickly generating boilerplate code in Python and JavaScript Limitation: struggles with more complex algorithms Takeaway: Perfect for small scripts and repetitive tasks 🔹 Tool 2: AI Debug Assistant Worked well for: identifying bugs in Python scripts Limitation: sometimes misinterprets logic in larger projects Takeaway: Great as a first-pass debugging assistant 🔹 Tool 3: Automated API Documenter Worked well for: generating API documentation from code comments Limitation: requires manual review for accuracy Takeaway: Saves time but doesn’t replace technical writing 🔹 Tool 4: AI Test Case Generator Worked well for: creating unit tests automatically Limitation: coverage is basic, ne...

🧪 I Tested 10 AI Coding Tools for a Week — Here’s What Happened Over the course of a week, I tested 10 AI tools for programmers. Here are the key findings , organized by practical usefulness for developers: 📈 Tools That Help the Most in Daily Work GitHub Copilot – Excellent for code completion and generating code snippets from scratch; works directly in the IDE and saves a lot of typing time. Amazon Q Developer – Performs well in AWS environments, assisting both with code suggestions and vulnerability detection. Tabnine – Autocompletes code with strong privacy and customization options, ideal for offline work and data protection. Cursor AI – Offers chat integrated into development, helping debug and reorganize code quickly. 🔍 Interesting Tools with Limitations Qodo – Great for automatic code review , especially for teams, but less useful for writing code from scratch. Blackbox AI – Good for code suggestions and explanations, but sometimes produces overly generic results. Repli...