On the very likely outcomes of the impacts LLMs are having on software engineers and their craft.

Really heartfelt piece that cuts through the noise imo. It deals with it quite fairly.

I use AI a lot for work, pretty much all day every day. I use coding assistants and custom agents I’ve built. I use AI to help code review changes, dig into bugs, and keep track of my projects. I’ve found lots of things it’s very helpful with, and lots of things it’s terrible at. If there’s one thing I have definitely learned: it does not work the way I imagined.

https://www.anthropic.com/engineering/built-multi-agent-research-system

Oh my god. On one hand, I feel a little sympathy - on the other… what the heck? LMAO?

Oh my god. On one hand, I feel a little sympathy - on the other… what the heck? LMAO?

High performance inference. Any model. Any hardware. No compromise. ZML simplifies model serving, ensuring peak performance and maintainability in production.

Today we have thousands of apps to choose from, but it’s difficult to craft our own custom tools that do exactly what we need. Geoffrey Litt’s research explores malleable software: approaching software that feels more like a Lego set that anyone can combine to create their own tools, without programming. This talk will feature demonstrations of malleable software tools developed in contexts from travel planning to collaborative writing. It will also discuss how AI might enable a Cambrian explosion of custom tools created by non-programmers, and what kinds of new software environments will be needed to take advantage of that new power.

Great overview of Geoffrey’s work over the past few years and how LLMs could fit into the future of end-user programming.

Author shares his perspective on the impact of genAI in the field of software development.

Definitely an interesting perspective. Makes a lot of points I agree with.

Traces, evals, prompt management and metrics to debug and improve your LLM application. Integrates with Langchain, OpenAI, LlamaIndex, LiteLLM, and more.

Your open source AI agent, automating engineering tasks seamlessly.

Least surprising thing ever. I do hope this makes it back to court hearings. I don’t really have an issue with LLMs in concept, but in practice these companies are really abhorrent.

Here’s to hoping!

A tool for enhancing Claude Code. Contribute to possibilities/claude-composer development by creating an account on GitHub.

To make AI transformation truly sustainable, we have to start at the beginning: how we hire and onboard people into Zapier to build this future with us.