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⚡ AI Lessons

Dev.to · Shreekansha
🧠 Large Language Models
⚡ AI Lesson
3mo ago
Human-in-the-Loop Evaluation Systems for GenAI Platforms
While automated evaluation pipelines and synthetic datasets provide scale, human-in-the-loop (HITL)...

Dev.to · Shreekansha
3mo ago
Synthetic Data Generation for AI Testing
For engineering teams building production Generative AI, the primary bottleneck in achieving high...

Dev.to · Shreekansha
🤖 AI Agents & Automation
⚡ AI Lesson
3mo ago
Automated Test Suites for AI Applications
For senior engineers, the transition from building a demo to a production AI application is marked by...

Dev.to · Shreekansha
🧠 Large Language Models
⚡ AI Lesson
4mo ago
Building Evaluation Pipelines for GenAI Systems
For engineers moving beyond simple prompts, the biggest challenge is not building the system, but...

Dev.to · Shreekansha
🤖 AI Agents & Automation
⚡ AI Lesson
4mo ago
The Architecture of a Production-Grade GenAI Platform
For senior architects, transitioning a Generative AI project from a "heroic" prototype to a...

Dev.to · Shreekansha
🧠 Large Language Models
⚡ AI Lesson
4mo ago
Designing Model Ensembles in GenAI Platforms
The Limitations of the Monolithic Model Approach In the early stages of Generative AI adoption, the...

Dev.to · Shreekansha
🧠 Large Language Models
⚡ AI Lesson
4mo ago
Evaluating GenAI Systems Beyond Accuracy: A Production Guide
The Fallacy of Accuracy in Generative Systems In traditional machine learning, accuracy is a...

Dev.to · Shreekansha
🧠 Large Language Models
⚡ AI Lesson
4mo ago
Designing Self-Optimizing GenAI Pipelines in Production Systems
The Definition of a Self-Optimizing GenAI System A self-optimizing GenAI system is a closed-loop...

Dev.to · Shreekansha
🔍 RAG & Vector Search
⚡ AI Lesson
4mo ago
Adaptive RAG Depth Control: Dynamically Optimizing Retrieval for Cost and Quality
What RAG Depth Means Beyond Top-k In a naive RAG implementation, depth is defined as the fixed...

Dev.to · Shreekansha
🔍 RAG & Vector Search
4mo ago
RAG Anti-Patterns in Production: What Breaks and Why
Retrieval-Augmented Generation (RAG) is often presented as a simple three-step process: embed,...

Dev.to · Shreekansha
💻 AI-Assisted Coding
⚡ AI Lesson
4mo ago
Scaling Generative AI Systems: Architecture, Reliability, and Production Patterns
A comprehensive guide to building resilient, high-throughput AI infrastructure. Scaling a Generative...

Dev.to · Shreekansha
🛡️ AI Safety & Ethics
⚡ AI Lesson
4mo ago
Engineering-Grade Strategies for Hallucination Prevention in GenAI Systems
A definitive guide to architecting factual reliability and validation into AI applications. In the...

Dev.to · Shreekansha
💻 AI-Assisted Coding
⚡ AI Lesson
5mo ago
Production-Grade Cost Control Strategies for Generative AI Systems
A comprehensive guide to architecting economically sustainable AI applications. In the early stages...

Dev.to · Shreekansha
🧠 Large Language Models
⚡ AI Lesson
5mo ago
Building a Simple “Chat with Your Documents” GenAI App (End-to-End)
*A minimal, practical walkthrough of retrieval, reasoning, and response generation. * Most developers...

Dev.to · Shreekansha
🛠️ AI Tools & Apps
5mo ago
Why GenAI Apps Feel Slow (And How Developers Actually Fix It)
Latency, cost, and performance bottlenecks explained with simple examples. In traditional web...

Dev.to · Shreekansha
🔍 RAG & Vector Search
5mo ago
Vector Databases for Developers (With a Simple Python Example)
Why embeddings matter and how modern AI systems search meaning, not keywords. For decades, software...

Dev.to · Shreekansha
🏗️ Systems Design & Architecture
5mo ago
How Real-World GenAI Systems Are Designed (With a Simple Python Example)
From user input to AI response — a practical breakdown of modern GenAI architecture. When developers...

Dev.to · Shreekansha
📄 Research Papers Explained
5mo ago
Retrieval-Augmented Generation (RAG) Explained with a Simple Python Example
How modern AI systems combine search and generation to produce better answers. In the world of...

Dev.to · Shreekansha
📄 Research Papers Explained
5mo ago
AI Agents : How Modern GenAI Systems Actually Work
AI Agents Explained with Code: How Modern GenAI Systems Actually Work From simple prompts to...

Dev.to · Shreekansha
5mo ago
What Software Developers Should Learn in 2026 (If AI Is Everywhere)
A practical skill roadmap for developers navigating AI-driven software development. If you’ve spent...

Dev.to · Shreekansha
5mo ago
How AI Is Quietly Changing Software Development in 2026 (Real Examples)
How AI Is Quietly Changing Software Development in 2026 (Real Examples) For years, the conversation...
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