An in-depth comparison of Kilo Code 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 Kilo Code if you are vS Code users who want an open-source 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 4 of six categories (output quality, autonomy, speed and value), while Kilo Code leads in 1 (ease of use). On price, Kilo Code runs free / pro via standard compute and is open source; Oh My Pi runs free (mit) — bring your own model and is open source.
Kilo Code is an open-source VS Code extension that brings powerful AI coding assistance directly into your editor. It supports multi-file editing, intelligent refactoring, and context-aware code generation. Works with any OpenAI-compatible API.
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.