Heading to HumanX Amsterdam! Plenty of people can demo AI, but we want to talk to the ones running it in production with real users on the other end. See you there! 👋

We did it again! 10 seasons at #1 in the G2 Grid Report for Feature Management. 98 overall. 99 Satisfaction. 96 Market Presence. Customers keep saying the same thing: when AI is writing more of what ships, they want LaunchDarkly holding the controls.

LaunchDarkly is $200M+ ARR! Proud of our team for building an amazing runtime platform for AI era Grateful to our customers who trust us to help them move faster while staying in control globenewswire.com/news-relea…

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: bit.ly/3T2d108

If @jamescham goes to @saastr , I'd be honored to speak, but @jasonlk decides.

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 → bit.ly/4vRW1I9

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 → bit.ly/4vRW1I9

Awake before the coffee or bagel shops are open.

“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

“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! en.wikipedia.org/wiki/John_H… #brainstormtech

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: bit.ly/4veRr6t

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 → bit.ly/3RmLB4o

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.

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. ld.team/6W88xI

Multi-agent observability: staring at disconnected traces until something starts to make sense. There's a better way 😏 Agent graphs put your entire workflow on one screen so you can spot issues and fix them without a redeploy → bit.ly/47MXvdb

Feature flags and controlled rollouts get more critical when agents are doing the shipping. Ben Woskow of @LaunchDarkly makes that case at Write-Only Code Summit on May 7 in SF. Early bird ends tomorrow → luma.com/write-only-code-sum…

Your enterprise AI project isn’t failing because of the model. It’s failing because your data is trash and your governance lives in a Google Doc. Everyone’s arguing GPT vs Claude vs the new hot crustacean framework 🦞. Meanwhile: – Your CRM is inconsistent – Your documents are unstructured – Your schemas are undefined – Your “AI policy” is vibes AI doesn’t break at the model layer. It breaks when messy data meets real users. Today @EmpromptuAI launched: ✨ Golden Data Pipelines 🫸🏽AI Policies Data readiness + governance embedded directly into the build process. Not a checklist. Not a memo. Infrastructure. We’re done with experimental AI features. We’re done with vibe-coded prototypes pretending to be products. We ar e the anti-vibe coding platform. Data. Governance. Builder. Deployment. Optimization. All of it. Together. I’m doing 30 deep-dive chats at empromptu.ai. If you’re still treating AI like a prompt layer, you’re going to keep firefighting.