fenic 0.4.0 brings fenic and its expressive API for working with data, to agents. With tooling becoming a catalog artifact, MCP servers and toolsets being available with just a cli command you can turn any data set you have into well curated context for your agents. check it out!

New episode: chatting with bauplan founders Jacopo Tagliabue and Ciro Greco on shipping AI with real-world data constraints. Why listen 1. Data pipelines determine model effectiveness, far more than most teams admit.

Here's a bit more information on each of the new 🦊 fenic 🦊 features. 1/7 🧵 Dynamic Templating Turn any column struct or array into a live prompt fragment. No more string concatenation hacks. You get per row, data driven prompts with minimal code, boosting relevance and reducing boilerplate.

fenic v0.3.0 is out and it's a release I'm really excited about! Here are a few of the things that this release is introducing. Jinja as a column function Robust Fuzzy Text Matching Full Pydantic support in all semantic operators Persistent views More Functions & Models Perf & DX improvements

@steveklabnik.com Joined us on an episode where we discussed about Why: • Cargo & friendly errors > benchmarks • 6-week releases > years-long committees • How Rust united Ruby, FP & C++ devs • Next-gen picks and many more! Check the episode on your favorite platform!

Everyone’s heads down on AI these days, but please take a break and soak in some deep systems wisdom from Josh Howards. He’s one of the folks behind R2 at Cloudflare. After all, whatever you build in AI will sit on top of these foundations. check @totrrocks.bsky.social for the episode link.

Startups and new products increasingly prioritize serverless models to reduce user friction and accelerate adoption. @philippemnoel.bsky.social from ep.12

The value proposition of formal methods becomes clear when dealing with complex distributed transactions involving multiple independent services. Jayaprabhakar(JP) Kadarkarai from ep.5

User experience and developer interaction with complex data abstractions remain a significant challenge beyond the technical integration. Nikhil Simha & Varant Zanoyan from ep.2

Successful AI developer tools must balance synchronous co-pilot style assistance with asynchronous autonomous agent workflows. @ivanburazin.bsky.social from ep.9

Managing AI access and permissions requires careful role-based controls to prevent over-privileged AI actions in enterprise environments. Well said, even before hashtag#MCP was as popular as today. @ivanburazin.bsky.social from ep.9

I had the rare opportunity to sit down and chat with someone who helped shape that story of Splunk, co-founder Erik Swan. There's a lot to learn from him but what inspired me the most is his energy. Even after a success like Splunk, still learning and building listen here @totrrocks.bsky.social

Incremental materialization has stumped the industry for decades. Epsio led by Gilad , is changing that: product-first, real-world incremental views. If real-time data infra matters to you, check out my chat with Gilad on @totrrocks.bsky.social

Just came across this! "transaction isolation in the presence of IVM remains underspecified." I was literally talking about this with @frankmcsherry.bsky.social 6 hours ago.

Lakekeeper is an open source data catalog built on the Apache Iceberg REST catalog API. If data infrastructure drives you, check out the project and catch Viktor Kessler's insights on the latest @TotrRocks episode!

I'm always excited to chat with @apurvamehta.com about what @responsive.dev is building. Streaming and real time as terms are being constantly reinvented as the market needs change rapidly, and Apurva is one of the best to talk about that. Check the conversation here: techontherocks.show/15

We'll be hosting another event at our offices in San Mateo. We want to bring together people who are interested in data and infra, from systems engineers who build data platforms, AI engineers, VCs and everything in between. Connect and have fun while we learn from each other. lu.ma/2hc1qm1v

New episode: “Semantic Layers: The Missing Link Between AI and Data” with @jayatillake.bsky.social . We discuss how semantic layers bridge raw data and AI, achieving 100% accuracy for natural language queries, and what’s next for LLM-powered data pipelines. 🎧 https://techontherocks.show/14 🎧

We will be hosting at our offices another Peninsula Data Happy Hour. This time we will have tacos, amazing people to connect with but also talks from Tomasz Tunguz, Tobiko Data and our own Rohit. Register here 👉 lu.ma/dm24afr0

I always wondered why PG’s text indexing and search is not enough. I finally got some good answers on that and many other questions about search in databases from Phillipe, co-founder and CEO of ParadeDB. Great conversation and many insights on the future of search technologies

Make sure you check the conversation with @davidmytton.social on TotR. He has some amazing stories to tell about observability and why it's so hard, security in a world where AI is turning everyone into a scraper and dev tooling. Check the conversation on your favorite podcast platform!

oh come on Polaris and Snowflake folks :/ github.com/apache/polar...

Do you have a favorite font that you are using for your terminal?

I had a lot of fun chatting with Roy about his experience during the early days of AWS and being part of the Meta teams training LLMs. Having experienced all this evolution of the industry is rare. You can listen to our conversation here: techontherocks.show/8

The "analytics engineer" is a result of the commoditization of data warehousing. Suddenly we ended up with huge demand and almost non-existent supply of engineers who could build and run that stuff. Yes, zero interests amplified the effect but it wasn't the cause. DBT seized the opportunity.

I missed the announcement of AWS MSK 'Express' Kafka brokers last week. They 'offer unlimited storage without preprovisioning, eliminating disk-related bottlenecks. Cluster sizing is simpler, requiring only ingress and egress throughput divided by recommended per-broker throughput.'

Next week we'll be co-hosting with the amazing people from Tobiko Data, Data Recce and Wilson Sonsini another Peninsula Data Happy Hour. Join us for an evening of conversations, networking and amazing food and drinks! lu.ma/omfb6f4o

Serverless is being used a lot lately with many different meanings. I think there’s a bright future to it but there’s still work to be done on figuring out what’s the right type of “serverless” Nitzan is sharing a lot of wisdom on the topic. It’s worth listening to him. techontherocks.show/7

www.prisma.io/blog/announc... @chris.blue built on Unikraft Cloud.