Logeshwaran, Author at CheatCoders - Page 9 of 15

About Logeshwaran

I am an experienced AWS Full Stack Developer with expertise in building scalable, cloud-native applications using a wide range of technologies, including AWS, Angular, Java, Node.js, Python, Terraform, Docker, and TypeScript. With a strong focus on delivering high-performance solutions, I specialize in leveraging AWS services for cloud architecture, creating dynamic front-end interfaces, and building efficient back-end systems. I have hands-on experience in automating infrastructure with Terraform, containerizing applications using Docker, and implementing DevOps best practices.

How to Build a Modern AWS Data Lake for Operational and Business Analytics with S3, Glue, Athena, Kinesis, and EventBridge

AWS

How to Build a Modern AWS Data Lake for Operational and Business Analytics with S3, Glue, Athena, Kinesis, and EventBridge

Build a modern AWS data lake architecture with S3, Kinesis, EventBridge, Glue, Athena, Step Functions, and cost-efficient analytics.

How to Build a High-Scale Product Search and Catalog Platform on AWS with OpenSearch, DynamoDB, SQS, and EventBridge

AWS

How to Build a High-Scale Product Search and Catalog Platform on AWS with OpenSearch, DynamoDB, SQS, and EventBridge

Learn a high-scale AWS search and catalog architecture with OpenSearch, DynamoDB, EventBridge, Redis, SQS, and asynchronous indexing.

Production IoT Telemetry on AWS: Kinesis, Lambda, DynamoDB, S3, and Event-Driven Device Command Workflows

AWS

Production IoT Telemetry on AWS: Kinesis, Lambda, DynamoDB, S3, and Event-Driven Device Command Workflows

Build an AWS IoT telemetry and device command architecture using Kinesis, Lambda, DynamoDB, S3, Step Functions, Glue, and Athena.

How to Design a Global Media Delivery and Personalization Platform on AWS with CloudFront, S3, API Gateway, and DynamoDB Global Tables

AWS

How to Design a Global Media Delivery and Personalization Platform on AWS with CloudFront, S3, API Gateway, and DynamoDB Global Tables

Architect global media delivery and personalization on AWS with CloudFront, S3, API Gateway, Kinesis, Redis, and DynamoDB global tables.

AWS Multi-Tenant SaaS Control Plane Architecture: API Gateway, ECS, DynamoDB, Step Functions, and EventBridge

AWS

AWS Multi-Tenant SaaS Control Plane Architecture: API Gateway, ECS, DynamoDB, Step Functions, and EventBridge

Design a production SaaS control plane on AWS using API Gateway, ECS, DynamoDB, Step Functions, EventBridge, and SQS.

How to Build a Hyper-Scale Serverless API Platform on AWS with API Gateway, Lambda, DynamoDB, and CloudFront

AWS System Design

How to Build a Hyper-Scale Serverless API Platform on AWS with API Gateway, Lambda, DynamoDB, and CloudFront

Build a hyper-scale serverless API platform on AWS using API Gateway, Lambda, DynamoDB, CloudFront, SQS, and EventBridge with production patterns.

LLM Context Window Engineering: Fit More Into 200K Tokens and Get Better Answers

AI & Developer Tools

LLM Context Window Engineering: Fit More Into 200K Tokens and Get Better Answers

Having a 200K context window does not mean dumping 200K tokens in and getting great answers. Context placement, chunking strategy, compression, and retrieval order all affect LLM output quality dramatically.

Prompt Engineering for Developers: Patterns That Produce Production-Ready Code Every Time

AI & Developer Tools

Prompt Engineering for Developers: Patterns That Produce Production-Ready Code Every Time

Developer-specific prompt engineering: constraint-first prompts, chain-of-thought for complex algorithms, few-shot examples for code style, structured JSON output, and the 10 anti-patterns that produce tutorial code instead of production code.

Vibe Coding With Claude Code: A Real Project From Zero to Deployed in 4 Hours

AI & Developer Tools

Vibe Coding With Claude Code: A Real Project From Zero to Deployed in 4 Hours

A complete honest walkthrough of building a URL shortener API from scratch using Claude Code — including the prompts that worked, the ones that failed, the corrections needed, and everything that shipped in 4 hours.

AI Code Review Automation: Build a GitHub Bot That Reviews PRs Like a Senior Engineer

AI & Developer Tools

AI Code Review Automation: Build a GitHub Bot That Reviews PRs Like a Senior Engineer

A GitHub Actions bot powered by Claude reviews every PR for security vulnerabilities, performance issues, missing tests, and code style — posting specific line comments before any human reviews it.