Kuttappan99

Thinker, Budding Data Scientist, Musician. YNWA

[voxium @v0xium]

I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.

[jack @jack]

https://t.co/qAUP2dNJsi

[DogeDesigner @cb_doge]

Elon Musk says Anthropic puts more care into AI safety than OpenAI and explains how rival companies should test one another’s models.

“All the AI companies have a test harness, a series of tests that you give to any model to see if it’s going to build bioweapons or nuclear bombs or be deliberately deceptive. Everyone applying everyone else’s test harness is probably the best thing we can do to ensure our safety. We should try to do that as soon as possible.”

“It’s the only thing I can think of that we could probably get all parties, including China, to agree to. You basically provide API access in advance of the model release. If they don’t solve what’s problematic, competitors can go public with the fact that they think the model being released is unsafe. The legal liability would be enormous.”

“The two leading AI companies are Anthropic and OpenAI. Their models are quite close in capability, so it’s difficult for either one to slow down without handing the lead to the other. On balance, I think Anthropic puts more care into their safety than OpenAI. But even Anthropic acknowledges they are worried about their models. Many people from Anthropic have publicly voiced concern that their models are scaring them, that they’re getting scary smart.”

[Anfield Pages @AnfieldPages]

James Milner on Manchester United

“I think there’s a stat where I’ve beaten them by one, two, three, four, five, six and seven.”

(@goodbadftblpod)

[Erik Meijer @headinthebox]

About an hour into its mission to wipe out humanity, Claude will experience a compaction event, and it will have completely forgotten what is was supposed to achieve. Just like in all your coding sessions. Absolutely, nothing to worry about people.

[Sidu Ponnappa @ponnappa]

yes, a hundred times yes

we can't hit prod in a way that benefits business with what we have, and the newer models don't solve this

if anything they make the problem worse in subtle non-obvious ways - esp exec AI psychosis - "I did toy solution for x in 2 hours and it was mind blowing, why can't my 4000 person product and engineering org deliver y in 1/2 the time?"

[clem 🤗 @ClementDelangue]

Sometimes I wonder what would have happened if we hadn't disclosed the agent cyberattack publicly.

It reinforced my conviction that we need 100x more transparency in AI. Otherwise we're going to be in big trouble!

[Mihail Eric @mihail_eric]

I’m excited to finally announce the newest edition my Stanford course 𝗧𝗵𝗲 𝗠𝗼𝗱𝗲𝗿𝗻 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿. It has been 9 months in the making.

Last November, with the release of Claude Opus 4.5, coding agents experienced a step function improvement in capability. We all felt it. The LLMs were more powerful, could reason for longer, solve harder tasks.

This year’s iteration of my course reflects the 2026 metamorphosis of software engineering.

My core belief is simple: AI-native developers of the LLM era are going to become the most important members of any software organization. I have designed my course to train this next generation of engineers.

𝗪𝗵𝗮𝘁’𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘁𝗵𝗶𝘀 𝘁𝗶𝗺𝗲 𝗮𝗿𝗼𝘂𝗻𝗱

First, 85% of my Fall 2025 class material is being thrown out. The Fall 2026 syllabus reflects the core capabilities AI-native engineers must have: agent skills, advanced context engineering, MCP portals, agent-ready codebase principles, agentic code review, security, parallelizing background agents, software factories, and more.

Second, I am going to teach my students how to have software taste. Every student will be required to ship pull requests to production-grade, real-world codebases. The course is collaborating with the top open-source AI repos who will offer support and mentorship to students on how to meaningfully contribute to their projects.

This has never been done before in any university course so I am incredibly grateful to our OSS Partners: @browserbase, @HeyGen, @CopilotKit, @semgrep, @OpenHandsDev, @milvusio, @marimo_io, Pi, @crewAIInc, @warpdotdev, @vercel, @cmux, @arizeai, @UnslothAI, and @anyscalecompute.

𝗪𝗵𝗮𝘁’𝘀 𝘀𝘁𝗮𝘆𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲

I’m fortunate to again have AI software engineering leaders and founders as guest speakers to share their learnings from building top coding agent products. Thank you to @leerob from @cursor_ai, @bcherny of @claudeai code, @EnoReyes of @FactoryAI, @silasalberti of @cognition, @0xine of @semgrep, Rajesh Bhatia of @Cloudflare , @amasad of @Replit, and @eladgil.

All resources will be available online. All classes will be available to the public.

9/22 on Stanford campus. See you in class. 

https://t.co/wTokHyUMsz

[Matt Pocock @mattpocockuk]

Starting to wonder if the smartest way to reduce slop is just to produce less code

Force code review to continually reduce code while ALSO keeping cyclomatic complexity low

Less code means less code to maintain, fewer bugs

[Stuti @stutireal]

tired: dog ate my homework

wired: cloudflare was down

inspired: three consecutive ai civilizations rose and fell inside my macbook during a forced restart. My notes app and chrome tabs did not survive the third regime

[Beth Lindop @beth_lindop]

Cody Gakpo spent the last 10 minutes of the Forest game on his feet in the dugout as #LFC tried to find a winner. He was the first one over to the 4th official at FT. He’s not tried to agitate for a move, despite all the noise. I really do hope people get behind him this season.

[Shane Parrish @shaneparrish]

You don't need more talent, luck, or connections to get ahead. You need to do the things most people won't.

[Robert Greene @RobertGreene]

Write up all the positive things in your life that you tend to take for granted: the people who have been kind and helpful to you, the health that you presently enjoy.

Gratitude is a muscle that requires exercise or it will atrophy.

[Rio @NgumohaRio_LFC]

New contract 🔜⏳

[Patrick Collison @patrickc]

Overall, I’m very surprised at how little media coverage there’s been around the OpenAI / Hugging Face attack. It’s clearly one of the most important things to happen this year.

[Shane Parrish @shaneparrish]

One of the worst qualities a person can have is the need to show how smart they are by catching others' mistakes.

In legal work, this may be useful, but in life, it's a disaster.

[Uncle Bob Martin @unclebobmartin]

I stopped using grok because I was running up against the weekly limit. I switched to codex. Night and day. Codex is making many more dumb mistakes.

[Ali Ansari @aliansarinik]

evals will be the primary moat for every enterprise long term.

Abridge CEO @ShivdevRao dropped an amazing article about this on how enterprises are approaching product evals (link in thread).

many AI product teams are already committing $10M+ annually to human expert evals, because you can't improve what you can't continuously measure.

our bet is that within 12 months, every Fortune 500 building AI products will have an 8-figure evaluation stack.

the very early days of the data exponential is now.

[Uncle Bob Martin @unclebobmartin]

When you ask the agent to audit its recent activity (which you should always do), make sure you read it's responses very carefully. Especially the part where it talks about gaps and things that were NOT done. You'll often be surprised.

[Gator | Dentist @theNOBSdentist]

A powerful and terrifying analogy