Jeremy Lewi
Jeremy Lewi is an individual software engineer and open-source creator, not a company. His work focuses on platform engineering and AI, including Foyle, an open-source AI assistant that helps developers deploy and operate software by translating natural-language intent into executable commands in VS Code notebooks.
At a Glance
- Individual software developers
- Software engineering teams
- DevOps and platform-engineering teams
- Teams operating cloud and Kubernetes infrastructure
- +1 more
AI Tools by Jeremy Lewi
(1)Foyle
Open Source VSCode Notebook Copilot
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Latest News
Foyle v0.0.45 released, adding links to open pages in VS Code
Foyle v0.0.44 released with configurable stripmetadata path
Foyle: You build it, AI should run it — public Hacker News discussion and creator Q&A
Foyle documentation redesign recorded as complete
Products & Services
Open-source AI copilot for deploying and operating applications. It integrates with VS Code notebooks through Runme, turns natural-language intent into suggested command/code cells, lets users execute those cells, and learns from the commands users actually run. Distributed under Apache License 2.0 with binaries for macOS, Linux, and Windows.
A web-based Runme project that Lewi says he is building; Runme is an open-source, Markdown-compatible DevOps notebook and execution environment.
Open-source Kubernetes-native machine-learning platform that Lewi says he created while at Google; it evolved from work to build Cloud ML Engine on Kubernetes and later related to Vertex AI.
A project that started at Primer to automate hydrating Kubernetes manifests; Lewi says he continued developing it for declarative, level-based continuous delivery.
Market Position
Foyle is positioned as an open-source, notebook-native DevOps copilot rather than a general chat assistant or a fixed set of approved scripts. Its differentiation is the combination of natural-language intent, executable Runme/VS Code notebook cells, self-documenting runbooks, and learning from what operators actually execute. Lewi describes it as complementary to paved paths and bespoke scripts: it helps compose flexible tool chains for tasks that are too infrequent to justify a dedicated tool. Comparable categories include ChatGPT/Claude-style coding assistants, runbook/automation tools, and Kubernetes/DevOps copilots.
Leadership
Founders
Jeremy Lewi
Software engineer at OpenAI; previously a principal software engineer at Primer.ai; previously at Google, where he was a technical lead for Kubeflow and helped create Kubeflow while working on what became Vertex AI.
Founding Story
Lewi created Foyle to use AI to simplify deploying and operating software. The project grew from the observation that developers often know their operational intent but do not remember the precise commands and context-dependent procedures; Foyle uses notebooks, runbooks, execution traces, and implicit human feedback so an AI can learn how teams operate their systems.
Business Model
Revenue Model
Foyle is free to use and open source; users supply and pay for their own LLM API usage or deploy their own model. No paid commercial subscription or API revenue model is described in the reviewed sources.
Pricing Tiers
Free to use; the user separately pays for LLM usage through an API key or runs an own model.
Target Markets
- Individual software developers
- Software engineering teams
- DevOps and platform-engineering teams
- Teams operating cloud and Kubernetes infrastructure
- Organizations that want shared, learned operational knowledge
- Deploying applications
- Operating and troubleshooting production software
- DevOps and platform-engineering runbooks
- Cloud and Kubernetes operations
- Generating and reviewing commands for tools such as kubectl, gcloud, SQL, and Cloud Logging
- Capturing executable, self-documenting operational procedures