Your experiments should live where your data already lives, and now they can!
Warehouse-native Experimentation is now on BigQuery, Databricks, and Redshift alongside @Snowflake. Your warehouse stays the source of truth for everything.
full details: https://t.co/yVHDKL2D8o
Now feeling extra bad about missing the https://t.co/ekbSMuaa3e conference. I promise to go next year, especially if @replit presents and @edith_h speaks!
Agents break in production in all the ways you'd expect, and a few you wouldn't. 👀
Runtime Labs is all about staying in control when they do. Did we mention that no LaunchDarkly account is required to join?
We'll see you there → https://t.co/gJuUubUOD3
There's a big difference between understanding runtime control and seeing it work in production. We're skipping the theory entirely and putting AgentControl in your hands.
Save your spot → https://t.co/gJuUubUOD3
“Calculus makes me feel smarter.” @karinklein advocating on the usefulness of advanced math.
I took AP BC Calculus when I was 15 - don’t use it every single day but some of the concepts I do!
#brainstormtech
Were indulgences about the corruption of a religious practice or about the way a new technology and economic model made it easier to corrupt a religous practice? This is one of the many interesting suggestions from The Infinite Alphabet by @cesifoti.
“Just like printing press created more literature as it was easier to produce books, Claude will create more software & Applications.” @bcherny#brainstormtech
“To think about Claude productivity, have a shootout where one engineering team has Claude & another doesn’t - see which does better” @bcherny
John Henry battle! https://t.co/WsUzzF8Kn9
#brainstormtech
@austencollins GP walked out of the room and didn’t return for ~20 minutes during the partner meeting for Series A. Afterwards, told partners he didn’t want to invest I hadn’t covered enterprise sales strategy. Which I had - when he had left. It was also in my physical deck.
G2 named us a Leader in Feature Management for Summer 2026!!!
Customer recognition means everything, so thank you for the trust and honest reviews.
See the full report: https://t.co/PYbWPGnX0o
The teams pulling ahead have already figured out what comes after shipping AI.
On June 11, @edith_h , Cameron Etezadi, and Marek Poliks are talking runtime control, production safety, and what hasn't worked. Come find out → https://t.co/1qlluUME62
Since launching in 2015, @LaunchDarkly has been synonymous with enterprise-grade feature management (50 trillion feature evals per day, serving many of the most exciting companies in the world).
Today they're announcing AgentControl, the first product as they become the runtime control platform teams trust to move quickly with AI. While staying in control of code (and agents) in production, of course. Very excited for LD's next chapter! 🚀
It's an additional piece you want to have as you mature - you're decoupling deployment from release (in the words of the amazing @edith_h ) and allows you to be testing in production (h/t to @mipsytipsy ).
That said, start by nailing your harness and quality gates (deterministic and adversarial). Then make sure your CI/CD is solid and you have excellent o11y so you know what's going on.
Then adding feature flags for another level of testing makes all the sense in the world. I've not heard a lot about this in the dark factory world, but it's an obvious addition.
Then it's time to add resilience engineering/game daying (I always think of @KoltonAndrus at Gremlin) to ensure that when your agentic swarm screws the pooch, it might take down checkout, but at least product pages still display or carts still work or whatever,
There are fair reasons to argue for a different ordering, but that's a mature dark factory. as @nathenharvey and the DORA team keep pointing out, DevOps good practices matter more than they ever did.
@mattpocockuk Yes, we have customers using @LaunchDarkly for feature flagging with agents.
We also have Agent Control to make it easier to control agents in production, after shipped. https://t.co/X0QuAksjtn
I started LaunchDarkly because teams deserved better control over what they shipped. With AI, that matters more than ever.
Today we’re launching AgentControl: real-time visibility and control for AI agents in production.
https://t.co/X0QuAksjtn