An in-depth comparison of Continue and Oh My Pi across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
Pick a winner in each category — you can change your vote anytime.
Choose Continue if you are developers who want full control over their AI coding assistant. Choose Oh My Pi if you are power users who want IDE-grade tooling — LSP, debuggers, subagents — inside a terminal agent.
In our editorial scoring, Oh My Pi leads in 3 of six categories (output quality, autonomy and speed), while Continue leads in 1 (ease of use). On price, Continue runs free (byo api key) and is open source; Oh My Pi runs free (mit) — bring your own model and is open source.
Continue is an open-source AI coding assistant that works as an extension for VS Code and JetBrains IDEs. It offers chat, autocomplete, and inline editing with full control over which models you use. Highly customizable with support for local models, cloud APIs, and custom context providers.
Oh My Pi (omp) is Can Bölük's fork of Pi, rewritten as a coding-first surface with a native Rust engine doing the heavy lifting. Where Pi stays deliberately minimal, omp packs an IDE-grade tool surface into the terminal: hash-anchored (hashline) edits that reject stale patches before they corrupt files, LSP-powered diagnostics and refactoring, real debugger control via DAP, persistent Python and JavaScript cells, browser automation, subagents, plan mode, and hindsight memory. It routes across 40+ providers by intent and accepts custom OpenAI-compatible endpoints via a models.yml.
Both work with any OpenAI-compatible provider. Point the base URL at Standard Compute and get unlimited frontier-model compute from $9/mo flat — no per-token billing, no 429 rate limits.
Both take a custom OpenAI-compatible base URL. Whichever you pick, Standard Compute powers it with unlimited LLM compute at one flat monthly price — no rate limits, no per-token billing.