Make Platform PM
A technical curriculum for Product Managers working on AI code-generation platforms — runtimes, preview environments, agent infrastructure, evals, observability, and extensibility.
The modern web platform stack
Build the mental model for how modern web applications actually run. Master the browser rendering pipeline, frontend frameworks, build systems, contai...
From demo magic to product category
Orient yourself in the prompt-to-code market. Understand the competitive architecture of v0, Lovable, Bolt, and Replit Agent; the prototype-to-product...
The hardest invisible problem in the stack
The runtime is the foundational platform decision. Master the tradeoffs between server-side containers, browser-based execution (WebContainers), serve...
From ephemeral sandbox to production URL
Preview environments are where generated code meets reality. Master tenant isolation at scale, hot module replacement, dependency management in epheme...
The substrate that lets AI actually write code
Coding agents are not chatbots with code output. Master the Observe-Think-Act-Evaluate loop, tool use and function calling, context management, multi-...
How to know the AI got better or worse before users find out
Code-gen evaluation is structurally harder than traditional software testing. Master execution-based evaluation, visual regression, regression detecti...
The telemetry that makes AI platforms operable
AI platforms degrade silently. Master observability for probabilistic systems — the three pillars (logs, metrics, traces), user-facing observability, ...
Building the platform other teams build on
Platforms become durable through extensibility and strategic sequencing. Master APIs, SDKs, and plugin systems; the platform-product boundary; cross-p...