SW2con's CFP(ish)

We’ve started SW2con because we believe we’re at the beginning of the next great wave of software development (and the tools needed to foster that). Obviously, AI is going to play a massive part in what is happening, but we think it does that in a way that builds upon — and further deepens — the work that has been done around cloud, containers, observability, APIs, etc. As such, the potential topic list for SW2con is enormous.

With all of that in mind, here’s how the CFP(ish) will work: I’m open to submissions now; use the form on the site to submit. Send me a session title, a short description and a brief bio — but more importantly, send me your forward looking ideas. Now, I won’t have a strict “close” date on the CFP, because we don’t have a “release” date that drops the agenda all on one day. Instead, I’ll do rolling closes, where I start placing sessions in chunks. The idea is that things are moving SO QUICKLY that I want to allow the room to add some last minute things to the agenda. So keep submitting until I announce the agenda is done!

Send me your awesome github projects. Send me your “here’s what we’ll be building in 3 years” talks. Send me your deeply technical talks. If you’re a new speaker, don’t hesitate — say that, and send me your ideas (we love new speakers). Send me the things that don’t seem to fit elsewhere. But above all, send me developer-oriented talks that are about all of the myriad ways that this new wave of software development is going to come about.

Here is just a partial list of what I’m looking for (examples in the parentheses are not exhaustive):

WASM and the Component Model

WASM and AI

All things WASM - projects, use cases, etc

Running LLM applications using Rust

Observability in AI

The Monitoring Stack (existing and new options)

Synthetic and Unstructured data for AI

Awesome Github projects (solo, company, etc)

Retrieval Augmented Generation (RAG)

The blurring line between models and retrieval systems

LLM Application Frameworks (LangChain, LlamaIndex, Fixie, etc)

AI Agents and agent environments

AIops and Infrastructure as code

LLM Ops

Vector Databases

Model services (Azure, Hugging Face, AWS Bedrock, etc)

Model Training (anyscale, OctoML, PyTorch, AWS Sagemaker, etc)

Code Assists and Co-pilots

AI code validation and QA

AI PaaS (Replicate, Banana, Modal)

Cloud-based Compute and AI Inferencing (Together.ai, Coreweave, etc)

Data Platforms (Scale, Snorkel, etc)

Low power LLMs

RAG-Fusion

Embeddings optimization

API Monitoring and Observability

API Security Risks

Event-driven APIs

APIs and LLMs

...and anything else that is forward looking, technically deep and just damn amazing!

I can’t wait to see what y’all come up with —- please pass this along, and do not hesitate to reach out with questions.