Utkarsh Kumar

Backend & Gen AI Engineer | Java, Spring Boot, Python, TypeScript | Building Agentic AI & RAG Systems

[Utkarsh Kumar @kumarukutkarsh]

Two most difficult things in software engineering: cache invalidation and naming things properly

- Martin Fowler

[Soleio @soleio]

It will be Origin: https://t.co/YRkdXOFWPH

[Utkarsh Kumar @kumarukutkarsh]

You know your project idea is solid when a company builds a product on top of it.

[Utkarsh Kumar @kumarukutkarsh]

@mittalparth_ @ahmedfahim21_ @ArjunVegeta Damn 🔥

[Utkarsh Kumar @kumarukutkarsh]

@expo @cursor_ai Currently exploring Expo, will ship cool projects soon! 🚀

[Utkarsh Kumar @kumarukutkarsh]

@expo ui skills does a great job when accompanied with @cursor_ai

[Utkarsh Kumar @kumarukutkarsh]

@ahmedfahim21_ @AnthropicAI @ElevCap @yeopleekorea @devfolio @mesaschool_ @basecamp Congrats champ 🎉🥳

[Utkarsh Kumar @kumarukutkarsh]

@mittalparth_ @AnthropicAI @ElevCap Congrats sir 🎉

[Utkarsh Kumar @kumarukutkarsh]

What mobile apps are you building? or wish there was an app for a use case.

[Utkarsh Kumar @kumarukutkarsh]

Falling in love with databases ❤️

How we evolve from simple append-only logs to in-memory hash table indexes to SS Tables and so on, and design them to be perfect

[Utkarsh Kumar @kumarukutkarsh]

@expo is the greatest gift to mankind.

[Utkarsh Kumar @kumarukutkarsh]

has been*

[Utkarsh Kumar @kumarukutkarsh]

So far my experience with @cursor_ai Composer and Grok have been really good. I’m not getting typos in responses and suggestions like “create a table per user” as before

[Utkarsh Kumar @kumarukutkarsh]

@mittalparth_ Cool, will shift from claude code for a month and try

[Alex Xu @alexxubyte]

System design fundamentals have become more important than ever in the age of AI.

Let’s review some of the most popular Kafka use cases today.

Top 5 Kafka Use Cases

Kafka was built for log processing, but now it has been used in other distributed systems for moving events reliably from one system to another.

- The log thing is still where most teams start, though. Systems use Kafka for collecting logs from different services and then route them to tools like Elasticsearch and Kibana.

- Kafka is also used for streaming user clicks, product events, and ML features that require recent data into tools like Flink.

- Another use case of Kafka is to stream performance metrics and system events into monitoring and alerting systems so the teams can catch the issues early on.

- Kafka can be used to record database changes into search indexes, caches, analytics tools, or replicated systems.

- Kafka helps services to publish and consume events independently, instead of direct service-to-service calls.

Are there any other use cases you have used Kafka for?

[Excalidraw @excalidraw]

Alright bucket fill is here!

MS Paint forever. ✌

[Utkarsh Kumar @kumarukutkarsh]

@github Stacked PRs is a nice feature add-on.

[Utkarsh Kumar @kumarukutkarsh]

@mittalparth_ @SarvamAI @GrowthX_Club @waitin4agi_ Unstoppable 🔥

Congrats to the team @marcdhi @ahmedfahim21_ @im__apoorva @mittalparth_ 🐐

[Utkarsh Kumar @kumarukutkarsh]

@mittalparth_ @claudeai Still exploring, but it has potential I reckon.

[Utkarsh Kumar @kumarukutkarsh]

@claudeai's "Record a Skill" is dope 🔥

You can record your screen, perform some tasks, and Claude will turn it into a skill, so you never have to perform it again manually. You can talk as well while you perform that task to give Claude more context.

[Utkarsh Kumar @kumarukutkarsh]

@mittalparth_ @cursor_ai Uno reverse: Dancemaxxing