Devin vs Oh My Pi — Which AI Agent Is Better?
An in-depth comparison of Devin and Oh My Pi across output quality, autonomy, reliability, speed, value, and ease of use. Vote for your favorite.
An in-depth comparison of Devin 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.
DevinompChoose Devin if you are teams that want to delegate well-scoped engineering tickets end-to-end. 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 (reliability, speed and value), while Devin leads in 2 (autonomy and ease of use). On price, Devin runs $20/mo entry + usage (acus) and is proprietary; Oh My Pi runs free (mit) — bring your own model and is open source.
Devin is Cognition's fully autonomous software engineer: give it a task in Slack, Linear, or the web IDE and it plans, writes code, runs tests, and opens a pull request in its own cloud sandbox — including several sessions in parallel. It shines on well-scoped, repetitive engineering work (migrations, test coverage, small features) and improved markedly through its 2.x releases, but it remains weaker on ambiguous, novel tasks, and ACU-based usage pricing means heavy use costs real money. Cognition also acquired Windsurf in 2025, folding its IDE technology into the same product family.
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.
Oh My Pi takes a custom OpenAI-compatible base URL. Point it at Standard Compute and get unlimited LLM compute at one flat monthly price — no rate limits, no per-token billing.
