Lokesh Sanapalli

Engineering Manager at Moneyview. Loves backend engineering and DevOps. Sharing my learnings on system design, architecture, software engineering etc...

[Lokesh Sanapalli @LSanapalli]

@spotifyindia Hey, cancelled my UPI autopay mandate by mistake, now can't go back to family plan. I see that it's removed. Need help!

[Lokesh Sanapalli @LSanapalli]

@AjeyGore Use caffeine command with Claude code to keep running with lid closed

[Lokesh Sanapalli @LSanapalli]

@ponnappa Sprint is snapshot of the team that shows the work progress at that moment. It helps to retrospect, change the direction of the team

[Lokesh Sanapalli @LSanapalli]

@trikcode The best thing you can do is to not go with the hype and get stressed in stampede. Wait for sometime, see if the hype is actual and there is visible value, then learn about it.

[Lokesh Sanapalli @LSanapalli]

@yongfook Probably the rarest proofs I saw that justify AI token spends. Good work!

[Phuong Le @func25]

Chapter 8 of The Anatomy of Go is now available. It discusses channels, timers, concurrency, goroutine creation and lifecycle, runtime startup, preemption, scheduling, I/O handling, the system monitor... and a bunch of other things.

The book is now complete at 873 pages, and early access will be closing soon after the editing phase, (which may add a few more pages).

As usual, here is an excerpt:

[Lokesh Sanapalli @LSanapalli]

@piliponful Kadane’s algorithm… but not intuitive to understand… The intuitive way is probably sliding window

[Lokesh Sanapalli @LSanapalli]

@piliponful Correct! Visualise on a larger input so that your brain cannot guess the answer and you start thinking systematically

[Lokesh Sanapalli @LSanapalli]

@caleb_friesen Great conversation! Good to see cab drivers speaking English… btw, you are looking like a doll… did anyone compliment that :P

[Lokesh Sanapalli @LSanapalli]

@manoj_ahi Good read! Curious to know how did you validate the market and demand before building thestatsapi ?

[Lokesh Sanapalli @LSanapalli]

@sunnykgupta @aps08__ +1 — mugging up won’t take far…

[Lokesh Sanapalli @LSanapalli]

@shipper_now These demos are looking good and promising a lot of things but not sure about the real quality of the product. I really don’t have the trust. What additional harness was added by these companies on top of Claude ? Do they generate Claude.md files dynamically?

[Lokesh Sanapalli @LSanapalli]

@ayushtweetshere Bought hetzner VPS a month ago, not getting time to setup, will prioritise soon

[Lokesh Sanapalli @LSanapalli]

@GithubProjects git reset —hard HEAD~1 && git push origin HEAD —force

[Pablo Antonio @PabloAntonio]

"My car consumes too much gas, let's start an offshore oil drilling company"

[Lokesh Sanapalli @LSanapalli]

@ChShersh + there are a few indirect binary search problems as well

Make Bouquets
Koko eating bananas
Ship Packages

[Lokesh Sanapalli @LSanapalli]

This can be vibecoded in a day… Also, litellm already does the same thing right?

[Shensi Ding @shensi]

Introducing Merge Gateway - Build Your Own Router.

You're three sprints into your coding assistant.

You pick the most hyped model, integrate, test, deploy.

A month later, a new model drops.

Now you re-test, re-integrate, re-deploy.

Your product didn't change, but the benchmark did.

That's how most AI teams operate.

Chasing a "best" defined by people who've never seen their product.

There is no best model.

There's only the right one for your product, users, and use-cases.

Build Your Own Router runs on your definition of good.

Pick your benchmarks, weigh them, add your own evals.

@merge_api routes every request to your winner.

👉$100 in credits to the first 200 people that comment

https://t.co/VLbDYycQRY

[Lokesh Sanapalli @LSanapalli]

@north_star_says 💯 — I tried using to edit the docs, pheww! Never worked… worst AI product integration I have seen so far

[Lokesh Sanapalli @LSanapalli]

@Meech_Ward Great! I love decorators… basically, they are simple mathematical functions which take another function and perform side-effect operations…

[Lokesh Sanapalli @LSanapalli]

@system_monarch User level feature store with the products browser, category interest graph. Train the model when the user is browsing the laptop and for recommendations run the inference