Hariharan

Senior ML Perf and Applied scientist
Tat tvam asi.
Adobe Applied Research | Amazon Search/ A9 | NIT Trichy

[Hariharan @bombrake]

@cneuralnetwork Sigh

[Hariharan @bombrake]

@prathoshap Lovely to see

[Hariharan @bombrake]

@svscnne @adamse Ahh, makes sense.

[Hariharan @bombrake]

@adamr_1776 @Apple @Microsoft @amazon Seems like sde 2 for all companies, which team in Amazon? I’d recommend Apple as the most future proof. Amazon is not stable.

[Hariharan @bombrake]

@akkiex007 @adamr_1776 @Apple @Microsoft @amazon L5 to l6 is the hardest at Amazon IMO, Primarily due to politics.

[Hariharan @bombrake]

@svscnne @adamse There are some really good PEs still at AWS and Amazon. Not all is lost.

[Hariharan @bombrake]

@avrldotdev You can master inference engineering while being employed.

[Hariharan @bombrake]

@jaga_prasanna Savings compound at scale.

[Hariharan @bombrake]

@maharshii Same

[Hariharan @bombrake]

@vipul_1011 Nice one Vipul

[Hariharan @bombrake]

@svembu Please checkout @PramaanaLabs . Great team !

[Hariharan @bombrake]

@sohailmo Would love to contribute

[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

[Hariharan @bombrake]

@gpusteve Nice to see a fellow HxH fan

[Hariharan @bombrake]

@henrylhtsang Haha yes

[Hariharan @bombrake]

@VagabondTruffle @francip Yes

[Hariharan @bombrake]

@jaga_prasanna Looking for a position?

[Teknium 🪽 @Teknium]

Just FYI. If you are switching models in a session all the time - you are doing it wrong.

Every time you switch, your entire prompt cache is invalidated on the new model you switch to, and you have to repay the full input tokens price for all of it.

Stop doing this unless those models are free.

This is not a hermes thing - this is a fundamentals of inference thing.

[Hariharan @bombrake]

@gpusteve Yes

[Hariharan @bombrake]

@Laz4rz Strongly agree. None of the papers really tackle multi agent setups on long autonomous tasks or even how to do better distributed memory.