Kunal Batra

Developer Relations @Datadoghq. Previously @AWS, @Clarifai, @Auth0, @SendGrid Opinions are my own.

[AJ Stuyvenberg @astuyve]

@jonobelotti_IO and @akshat_b were kind enough to sit down and talk about how they're scaling Modal with Datadog.

It's crazy that they run on top of 20 cloud providers now, check it out:

[/sesh/null @nerdsane]

"If there is a time engineers can afford to take on technical debt, it's now. A more capable model can repay it down the line. Don't overthink it."

This reframes tech debt in a way that's underappreciated and extremely pragmatic advice for those building with AI today. From a chat with @stevenkplus1 at @datadoghq, with a packed cafe on a Monday afternoon. We covered Devin, AI and math, formal verification, appreciating life, and more.

Reminded me of this slide on tech debt from a talk at Datadog.

https://t.co/P05CVe0TTX

[Kunal Batra @kunal732]

@mgonto I like them as structures for thinking, analogous to fine tuning the last few layers of a model... & adapting to a co's unique context.

[Tibo @thsottiaux]

Announcing ChatGPT Space, a collection of new collaborative experiences right in ChatGPT.

Edit rich notes with live visualizations together with others and your dots. Whether it’s a TODO list to delegate, a product plan or meeting notes. Working with others and your agents is seamless and they also be automatically kept up to date in the background. For developers, this is AGENTS.md taken one step further.

[Kunal Batra @kunal732]

@imjaredz what did you build ?

[Kunal Batra @kunal732]

@MegRaeGrady @github @Jira cc: @cassidoo

[Jeremy @linuxquestions]

The @datadoghq DASH fireside chat lineup looks amazing.

@oliveur + @ClemDelangue
Alexis Lê-Quôc + @thsottiaux
@atalwalkar + @_sholtodouglas
Yanbing Li + @tomocchino

I absolutely can't wait. See you in June!

https://t.co/PfMHEm4qP9

[Kunal Batra @kunal732]

👀

[Shashank Prasanna @shshnkp]

Cool new agent skill for agent assisted conversion of transformers models to MLX! 🔥
Blog post by @awnihannun and @pcuenq

https://t.co/ld7TfWcrtJ

[Ameet Talwalkar @atalwalkar]

Heading to @iclr_conf next week? Datadog AI Research is hosting an event along with the ICLR SPOT workshop organizers. Join us to meet our team and learn about our work on observability world models + agentic post-training!

[Kunal Batra @kunal732]

Been working on this for a bit, stoked to announce a community port of the AWS Strands Agents framework to Swift. It can run natively on device and you can build those fun OpenClaw-style computer use examples. It can run inference locally via MLX or through Bedrock.

In the video I connected an agent to a Mac MCP server and asked it to open Word and write a sentence. It also sends OTel telemetry to your tool of choice. In the video you can see the telemetry from the agent being shown in Datadog's LLM Observability.

https://t.co/bd4qc4uB1o

Coming soon: Interacting with the agents through voice either AWS Nova Sonic or locally with @Prince_Canuma's mlx-audio-swift package.

cc: @awsdevelopers, @awnihannun , @shshnkp

[Kunal Batra @kunal732]

Introducing MLX-Swift-TS
https://t.co/TDCJXVpago
An SDK for running time series foundation models fully on-device on Apple Silicon.

When I joined @datadoghq , I was introduced to Toto, our time series foundation model, and got excited about zero-shot forecasting across different domains. While building a health copilot app, I realized there wasn’t a simple way to run models like these locally on device. So I built one.

MLX-Swift-TS exposes a common TimeSeriesForecaster interface for loading and running multiple time series architectures directly in Swift using MLX. No server required.

The attached video shows on-device forecasting running inside a native Swift app.

Huge thanks to @awnihannun and the MLX team for building MLX and its Swift API, @Prince_Canuma for inspiration on MLX SDK patterns, and @atalwalkar and the Datadog team for Toto.

[Kunal Batra @kunal732]

@mgonto Do you have any frameworks you prefer for constructing/running these ?

[Kunal Batra @kunal732]

@fullstackpython Ha fair - “almost” does a lot of work there ����
Always appreciate a good meme though.

[Kunal Batra @kunal732]

Always enjoy chatting with this crew

[Kunal Batra @kunal732]

@goosewin @RhysSullivan Ha

[Kunal Batra @kunal732]

@shshnkp @awnihannun @angeloskath This is great!

[Kunal Batra @kunal732]

@crtr0 same ✉️

[Kunal Batra @kunal732]

@Prince_Canuma Mlx evangelist !!

[Kunal Batra @kunal732]

@amit Nice! I see you got the noise canceling ones