Pari

Builds and scales products

#Bitsian #Illini

[Pari @PixelInBits]

@PraneetaPujari Also I work in voice AI and healthcare, if you need any notes on voice interfaces, happy to help

[Pari @PixelInBits]

@PraneetaPujari Hi Praneeta, really cool concept

is the app going to be available for managing migraines outside the US? I am presuming android app will follow in some time

My sister gets chronic migraines and she is in India, and this would be very useful for people like her

[Darshita Patankar @_darshi]

Hi, it's Darshita. I am a designer.

And I'm pitching myself in public 'cause I'm done with a year full of anxiety.

Everyone says design is dead and AI killed it. But the real parasite was hiding in plain sight.

So here's my film, DESIGN IS DEAD. She's bold, fearless and very PINK 💖

Hiring? My DMs are open.

[Pari @PixelInBits]

@vikpat Great creative work.

Also went through your blog and videos, loved the idea of doing things regardless, applies to so much more than filmmaking

[Shreyas Doshi @shreyas]

Does anyone here know someone who can help me navigate the healthcare system in Nashville, Tennessee? Would appreciate DMs with any contacts / referrals especially someone who has context on Vanderbilt medical center and would be willing to help 🙏

(This is for a family member)

[Gergely Orosz @GergelyOrosz]

What do developer tools look like inside Uber, today? They are very different from what you would see at most places. We get a rare tour with one of Uber's longest-tenured engineers, Uday Kiran Medisetty (@udaykiran) - who was at Uber already when I joined in 2016!

Timestamps:

00:00 Intro
02:48 Uday’s early days at Uber
05:40 Uber’s move to microservices
07:55 Uber’s engineering team, then and now
09:05 Developer tooling before AI
16:03 DevPods
19:28 Building for AI agents
29:27 MCP gateway
34:37 Agent Skills repo
38:46 The context graph and Cortana
47:54 PRD and ERD tool
50:45 Minion
54:46 Testing and code review with Bazel, Slate, and Capri
1:12:26 Edge Gateway, Shepherd, and Wisdom
1:21:33 The changing role of engineer and measuring productivity
1:30:40 Uday’s favorite new products

Brought to you by:

• @turbopuffer – The tpuf eng team is rebuilding their storage architecture from first principles to make search faster, cheaper, and more reliable at scale. Follow along at https://t.co/h4kBELKz20

• @linear – the product development system for teams and agents. Check out Linear Diffs: a new feature to review PRs inside of Linear, with all the context in one place. https://t.co/knIF2mcz9p

• @WorkOS – how do you deal with agents and permissions? WorkOS built Airlock, the authorization layer for AI agents. Works with Claude Code, Codex and MCP gateways. https://t.co/OzuIJ1wHtZ

Three things you probably did not know about Uber:

1. At Uber, cities are a first-class concept that go all the way down to physical infrastructure.

One reason Uber had to build a lot of its custom tooling is how the concept of cities is a “basic primitive” that needs to be handled across systems like observability, feature flagging, deployments, and even service sharding. For example, in the early days, some services had their database sharded by cities. Even today, each city is pinned to a cloud region, and can fall over to another region at any time.

2. A single AI model gateway has paid lots of dividends.

In 2023, Uber’s platform team made the decision that everything built with AI needs to be model- and harness-agnostic. They built Model Gateway to support switching between Anthropic, OpenAI, other vendor models, and now also supports open models they run.

3. Uber tags PRs by the type of work each of those PRs do.

In the past, Uber measured “PR velocity:” how long it took for a PR (or, as Uber calls it: a “diff”) to get to production. With agents, doing so makes less sense, because it’s easy to create dozens or even hundreds of PRs, and many of those PRs might have no business impact on the product.

​So Uber now tags all PRs by type: feature, bugfix, maintenance, testing, or docs.

​They are seeing the percentage of “feature PRs” going up, and the percentage of “maintenance PRs” going down.​

I find this categorization to be a clever approach!

[Pari @PixelInBits]

@shreyas Just last week saw a 24 page report on architecture sent to review to a senior leader without first reading it themselves. smh

[Pari @PixelInBits]

@annetgriffin @MavenHQ Was a great session, thank you for hosting it and walking through the AI product landscape with such clarity and useful examples.

[Shreyas Doshi @shreyas]

Something that’s changed rapidly in the past year:

Product Managers who’ve historically viewed their role as “my main job is to execute” are finding it way harder to get hired at top companies than those who’ve viewed their role as “my main job is to make the product successful”

[Pari @PixelInBits]

@shreyas Hint: your assessment of closest colleague's taste tells lot more about your taste than a self assessed one

[Pari @PixelInBits]

@vixsheikh Well said, Many people just like the shipping part, not the supposedly unglamorous parts of landing something well

[Pari @PixelInBits]

@annetgriffin A restaurant that serves a tokenizza

[Evan LaPointe @evanlapointe]

You'd be literally crazy to not watch every one of these videos.

I really want to put a big collection of must-watch/must-read together some day. This will all be in it.

[Pari @PixelInBits]

@shreyas I think it is totally fine to use AI for writing but your own unique framing is very much needed for important emails and serrious strategy.

To give a lno example, the use of ai is in all for me, but the injection of AI is after lot more introspection in a L task in comparison.

[Pari @PixelInBits]

@shreyas I think other than what's mentioned, one niche grain in all online polls that people choose to be sarcastic about their choices.

Refuse to choose is one way of engaging but not engaging.

[Pari @PixelInBits]

@annetgriffin Good take, I would concur about the agents being in the background part for specific use cases.

I personally found muse useful coz it helps me respond to people on multiple emails/channels in one go, and it looks like it will learn my style