A human look at the AI future
Honest reflections on the uncertainty, excitement, and opportunities of the agentic era.
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Launch Darkly
Stay updated with the latest developments in Artificial Intelligence
Stories from the Factory Floor: Running my baseball side project on an AI software factory
I turned my personal side project into a real-world testbed for our internal software factory implementation. Over a few weeks, the factory created and wired 21 flags for me—and changed how I ship.
Launch Darkly6 min readYou can't control what you can't see
What LaunchDarkly showed live on the Control Panel: how to see what's happening in production, act on it in real time, and test on data you already trust.
Launch Darkly5 min readLaunchDarkly is now native on the Vercel Marketplace
You can now install LaunchDarkly from the Vercel Marketplace and evaluate your first flag in minutes. Start on our free Developer plan and upgrade when you need to, all managed from Vercel.
Launch Darkly5 min readBest CI/CD Pipelines for Containerized AI Development
Containerized AI applications require sophisticated deployment infrastructure to manage Docker images.
Launch Darkly13 min readML Experiment Tracking: What to Track Across Models, Data, and Production
The vast majority of teams working on large language models (LLMs) and machine learning (ML) systems diligently track hyperparameters.
Launch Darkly17 min readBest Practices for Experiment Tracking in MLOps
Learn how MLOps experiment tracking supports reproducibility, lineage, governance, CI/CD integration, and safe model promotion in production ML systems
Launch Darkly26 min readStories from the Factory Floor: Our AI software factory saved me from an incident and I lived to tell the tale
Last summer, I shipped what I thought was a routine cleanup to production. It turned out to be a bug. But before the vast majority of users ever saw it, our AI software factory caught it and rolled back my change automatically.
Launch Darkly4 min readPodcast recap: Observability won’t save your agents
On a recent episode of the MonkCast, Marek Poliks spoke with James Governor about why governing agents from the outside leaves teams perpetually one step behind.
Launch Darkly7 min readAgent Optimization: Define what better means, and let AgentControl find it
Agent Optimization, now in beta in AgentControl, automatically searches for a better agent configuration against criteria you define.
Launch Darkly6 min readStories from the Factory Floor: Building a software factory on our scariest code
We pointed coding agents at our oldest, most business-critical frontend. Here’s what it taught me about what a healthy AI software factory actually looks like.
Launch Darkly10 min readStories from the Factory Floor: Empowering agents with LaunchDarkly MCP tools
A new capability on the LaunchDarkly MCP server offers a practical look at what an automated software factory could look like in practice.
Launch Darkly5 min read
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