Monal Jain

Engineer

[Monal Jain @monal94]

@elonmusk any timelines for UAE?

[Monal Jain @monal94]

@alexandr_wang On $50 plan, seems to be consuming a lot of tokens. Consumed 15% of weekly quota for a task which ran for 15-20 minutes. Any resets till the bugs are fixed? Muse please?

[Kevin Gu @kevingu]

https://t.co/DBaiIhnhLQ

[Monal Jain @monal94]

@whop_support @whop @jsharkey @cnrstvns @lisanalgaib @Delmo_dev Thanks for fixing it, i found a workaround to the orders page and was able to cancel it yesterday.

[Monal Jain @monal94]

@tankots @WisprFlow any plans to add transcribing Hindi words in English script? For messaging apps, you generally mix hindi and english words and expect them to be outputted in english script.

[Andrew Ng @AndrewYNg]

https://t.co/Q3Ob7lRXRj

[Andrej Karpathy @karpathy]

A few random notes from claude coding quite a bit last few weeks.

Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.

IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.

Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.

Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.

Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.

Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.

Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.

Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.

Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?

TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

[Monal Jain @monal94]

480 million Jio users * 35k INR/yr plan = 190 billion USD spend per year, ofcourse assuming 100% conversion but still massive growth spend

https://t.co/UytIG2uOEu

@amitisinvesting

[Monal Jain @monal94]

@MarketMaestro1 What’s the time frame for first target?

[Kartik Bhatia @_kartikbhatia]

Waiting for an hour for my @BlaBlaCar bus to Amsterdam with no updates on delays. Customer support is pretty much useless as they ask customers to be patient while they are trying to get an update. @Blablacar Have you heard of this modern technology called “calling the driver”

[Monal Jain @monal94]

@championswimmer @championswimmer which app is this?

[Monal Jain @monal94]

@DrivezyIN @Drivezy_CEO refund is not processed from 10 months for pnr 4120366064. Multiple follow ups on email. Provided resolution ASAP

[Monal Jain @monal94]

The Logistics of Evacuating Afghanistan https://t.co/pIWbB8f3DE via @YouTube

[Monal Jain @monal94]

3 steps to exceptional results
- Do less
- Do it right now
- Do it the right way

[Monal Jain @monal94]

"Motivation often comes after starting, not before.

Action produces momentum."

–@JamesClear

[Monal Jain @monal94]

Great post to understand LLD of Notion blocks - something entirely different than what traditional GTD and ToDo apps do! @NotionHQ @jitl

The data model behind Notion's flexibility https://t.co/qMvZgJK5B9

[Monal Jain @monal94]

Massive news for SE Asia startup ecosystem
https://t.co/ysyAIHLAQA

[Forbes @Forbes]

Ethereum’s co-founder Vitalik Buterin has donated over $1 billion in crypto to the India Covid Relief Fund and a range of other charities https://t.co/aud79lXWrA

[Monal Jain @monal94]

Thanks @Rahul_J_Mathur for providing insurance gyaan. These are very useful for people who traditionally may not have direct insurance products but can avail this benefit.

[Rahul Mathur @Rahul_J_Mathur]

Mutual Fund investors in India are often unaware that they could be eligible for free Life Insurance.

This sounds crazy right? Well, this is true - I'll explain how this works:

If you are:
(1) Aged 18 to 50 years and
(2) you use the SIP route to invest

(1/3)

[Monal Jain @monal94]

Vaccine makers are using the profit from India to fund their international expansion to break free from govt embargo. This enables them to multiply their production for high paying international market dis-incentivising investment in India.

[Monal Jain @monal94]

Even at subsidized price ($2-$3), vaccine makers are profitable. If they want to channel their profits from current sales, it would take a long cycle to increase production. @RBI should provide financial incentives to vaccines producers to set up new plants.

[NDTV Profit Alpha @NDTVProfitAlpha]

Central government defends vaccine pricing policy in its reply to the Supreme Court.