Blog Archive
Beyond Basic RAG: Exploring Advanced Retrieval Techniques for AI Devs
Dive into advanced Retrieval-Augmented Generation techniques like query expansion, re-ranking, and hybrid search.
Building a Semantic Search Engine for Your Codebase in Under an Hour
Learn how to build a semantic search engine for your codebase using Python, embeddings, and a vector database in under 60 minutes.
From Notebook to Production: A Developer's First Look at MLOps for AI
Learn the fundamentals of MLOps for AI applications, moving from Jupyter Notebooks to robust, production-ready deployments.
From Idea to App: Using AI to Generate Flutter UI Code
Discover how to leverage AI tools to rapidly prototype and generate Flutter UI code from simple text descriptions or wireframes.
What Are Embeddings? The Secret to AI's Long-Term Memory Explained
Discover how embeddings work, how they bridge the gap between human language and machine understanding, and how they power long-term memory in AI.
Build an AI-Powered Code Documentation Bot with the Gemini API
A hands-on tutorial showing how to use the Gemini API and Python to automate the tedious task of writing code documentation.
AI Security for Devs: How to Prevent Prompt Injection in Your Applications
Learn what prompt injection is, why it's a critical security vulnerability for LLM applications, and practical techniques developers can use to defend against it.
How to Create a GitHub Issue Summarizer with Python and OpenAI
Feeling overwhelmed by long GitHub issue threads? Learn how to build a Python tool to summarize them automatically using the OpenAI API.
Serverless AI is Here: Deploying Language Models with AWS Lambda
Move your AI application from a script to a scalable, production-ready serverless API using AWS Lambda, API Gateway, and Docker.
Mastering Gemini CLI Agent Skills: A Guide to Using and Building Custom Extensions
A comprehensive guide on using and creating Agent Skills to extend the capabilities of the Gemini CLI.
Your First Local LLM: A Developers Guide to Ollama and Docker
Learn how to run powerful, open-source large language models on your own machine for free, private, and offline AI development.
Agentic Workflows: Combining Specialized Skills
Exploring a practical example of combining two distinct agent skills—book-report-api and create-slide—to transform raw data into a professional presentation in seconds.