AI agents · In development

Whale Loop: AI development that finishes

Instead of stacking another decision engine on top of the model, Whale Loop lets today's model own the work from exploration to verification, and holds the boundaries firm.

A whale curled into an infinity sign, the Whale Loop logo

Private beta

Whale Loop

An execution harness that keeps AI coding agents on the goal, and lets them call work done only after a real check passes.

  • AI coding harness
  • Codex · Claude Code · Grok
Ask for early access
Gat, a whale wearing a traditional Korean hat, hard at work

In development

Whale Loop Desktop

Plan, approve, build, and verify with your coding agents in one desktop app, on the Codex, Claude Code, Cursor, and Grok setups you already have.

  • Desktop app
  • Six agents supported
Ask for early access
  1. 01

    Keeps the goal in sight

    Even in long tasks, it checks the current state against the original goal and makes the biggest gap the next move.

  2. 02

    Agrees on a design first

    Vague requests start by reading the codebase, become a decision-complete design, and get built only once approved.

  3. 03

    Done means proven

    Not the model saying "done", but a real check run after the last change is what counts as finished.

  4. 04

    Stops and asks at the edges

    Out-of-scope changes, external writes, and human decisions are surfaced, not hidden. Existing changes are preserved.

Works with

  • Codex
  • Claude Code
  • Grok
  • Cursor
  • OpenCode
  • Antigravity

Contact

AntWave beta feedback, early access to Whale Loop, or collaboration ideas: send it all by email.

hello@looprain.com