About CheatCoders
CheatCoders.net is not another generic coding blog. This is where intermediate and advanced developers come to learn the stuff that doesn’t show up in documentation — the hidden optimizations, the battle-tested debugging techniques, the architecture decisions that separate senior engineers from everyone else.
Who’s behind this?
I’m Logeshwaran, an AWS Full Stack De
veloper with hands-on expertise across the modern stack — AWS, Java, Node.js, Python, Angular, TypeScript, Terraform, and Docker. I’ve spent years building scalable, cloud-native applications and debugging the kinds of production problems that don’t have neat Stack Overflow answers.
CheatCoders is where I document the real stuff — V8 JIT tricks, AWS cost hacks, Node.js event-loop edge cases, Python memory optimizations, system-design tradeoffs, and practical AI coding workflows — that I wish someone had written down when I was leveling up.
What you’ll learn
Expect depth over fluff. Posts are written so you can read them today and apply them on a real service tomorrow:
- JavaScript & Node.js — V8 hidden classes, event-loop mastery, streams, and performance pitfalls that show up under load;
- AWS & cloud — Lambda cold starts, cost-cutting patterns, IAM least privilege, and architecture shortcuts that survive production;
- Python — CPython internals, memory profiling, and lesser-known stdlib features that save hours of guesswork;
- System design — scalability decisions from real constraints, not textbook diagrams;
- AI coding — using models and tooling responsibly in reviews, pipelines, and day-to-day engineering without handing over the keys to production.
You’ll also find debugging playbooks — how to diagnose incidents faster when metrics, logs, and traces disagree.
Who it’s for
If you’re past “hello world” tutorials and want the unfair advantage — the knowledge most engineers accumulate slowly over years — you’re in the right place. CheatCoders is built for intermediate and advanced developers, staff-track engineers, and anyone shipping on AWS who wants fewer surprises at 2 a.m. Beginners are welcome to read along, but the default audience already ships code for a living.
How content is made
Every post starts from something I’ve built, broken, profiled, or reviewed in the wild. I compress that experience into clear write-ups with concrete patterns, gotchas, and checklists. I don’t pad word count with beginner recaps or recycled “top 10” lists. When APIs, quotas, or pricing change, I update or correct posts — and if you spot an issue, the Contact page is open for fixes, guest ideas, and sponsorship conversations.
Categories at a glance
- JS / Node — runtime internals and backend performance;
- AWS — cloud-native architecture, cost, and ops;
- Python — performance and practical advanced usage;
- System Design — tradeoffs that scale with traffic and teams;
- AI coding — developer tools, Bedrock/ML pipelines, and secure automation.
Start with these pillars
New here? These deep-dives are the best entry points into CheatCoders:
- Cursor vs Copilot vs Claude Code — pick the right AI coding tool for your workflow;
- AWS Lambda cold starts — cut init latency without burning money on provisioned concurrency everywhere;
- Node.js event-loop blocking — find and fix the stalls that look like “random” timeouts;
- Amazon Bedrock Agents — tool use, memory, and production guardrails;
- DynamoDB advanced patterns — single-table design, GSIs, and transactions that scale.
Stay in the loop
Want new advanced posts without hunting the archive? Subscribe for delivery to your inbox. Guest posts, sponsorships, corrections, or a quick hello — use Contact.
Most developers learn the surface layer of their tools. CheatCoders goes deeper — no fluff, no generic tutorials. Just the cheat codes.