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.

What if every release came with built-in observability? No setup. No forgotten error rates. No guesswork. Guardrail Metrics auto-attaches best-practice metrics to every Guarded Release. Track what matters by default.

We’ve got big news! Edith Harbaugh (@edith_h), LaunchDarkly cofounder and the original force behind feature management, is now CEO. Her vision shaped this category. Now she’s leading us into its future 🚀 Let’s build what’s next!

People always argue that AI writes terrible code & breaks in a real, large codebase. Well, episode 14 of How I AI will show you how AI can write high quality, production code for engineering teams of 100 My pal Zach is an eng leader at @LaunchDarkly and went from an AI sceptic to driving AI adoption in 6 months. In this ep he shows: 📑 how to structure docs in your repo so you DRY to your AI agents ✅ use AI to burn down tech debt 🙊 use ChatGPT to help you be a less conflict avoidant manager This ep is the “big company” sequel to @ryancarson’s structured vibe coding ep and not one to miss. Big thanks to our sponsors: 🎩 @WorkOS – Make your app enterprise-ready today 🛠️ @MavenHQ – hands on AI education curated by @lennysan and me!

A broken third-party API shouldn't ruin your weekend. Diane walks through how to add a kill switch that lets you shut things down instantly—no redeploys, no drama. Graceful failure > firefighting.

Congrats to Mary! She’s helped me so much.

Hope to see you at DevGuild in San Francisco July 31! @heavybit are fantastic community builders.

Please take James Cham’s money. You won’t regret it. He also helps with messaging Presentations And general good advice.