The IQ Behind Your AI
In-editor workflow run
limerIQ workflow running in VS Code

Multi-Agent AI Workflows for VSCode

limerIQ turns your prompts into reliable workflows that orchestrate Claude Code, Codex, and Gemini CLI. Independent agents plan, code, test, and review changes so you keep the leverage and lose the chaos.

What using limerIQ actually looks like

A short story from prompt -> workflow -> guarded execution -> merge. Built for developers who expect tests, git discipline, and repeatability.

You tell limerIQ what you want.
It assembles a workflow, not just a reply.
Agents run under guardrails.
step_01

You tell limerIQ what you want.

In VS Code: "Add a /projects endpoint with validation and tests using our existing helpers."

Free for personal use — forever.

No new AI subscription required. limerIQ orchestrates the models you already have.

Claude

Claude Code Pro or Max

Or Anthropic API key

ChatGPT

ChatGPT Plus or Pro

Or OpenAI API key

Gemini

Gemini Plus, Pro, or Ultra

Or Google API key

One orchestrator. Three frontier model families. Your choice.

Request closed beta access

Why not just keep chatting with your AI?

Because limerIQ treats AI like part of your SDLC, not a magic autocomplete box.

guardrails

Build-time, not runaway agents.

Runs in your plan -> code -> test -> review loop inside VS Code. No background agents poking prod or freelancing tasks.

consensus

Multi-agent workflows with a judge.

Different agents plan, implement, and review. A judge compares options and chooses the best result so one model never owns the outcome.

git + tests

Tests and git as first-class citizens.

Workflows run in git worktrees with deterministic test steps. Your main stays clean until you approve the diff.

reusable YAML

Declarative, reusable workflows.

Save winning flows as YAML, version and diff them, and reuse across features - no more reinventing the same prompts.

Workflows you can reuse, clone, and tweak

Build and share limerIQ workflows with the community. Here are a few workflows that are popular right now.

performance-planning

Comprehensive planning workflow for performance optimization - Baseline, profiling, bottleneck analysis, targets, strategy, testing Flow: Process Performance Optimization Request → Establish Performance Baseline → Design Profiling Strategy.

migration-plan

Building block for planning incremental migration strategies Flow: Process Migration Request → Analyze Current System → Identify Migration Phases.

greenfield-planning

Comprehensive planning workflow for greenfield projects - Discovery, PRD, User Stories, Design (parallel), Approval, Sprint Planning Flow: Process Greenfield Planning Request → Discovery Phase - Gather Requirements → Generate Product Requirements Document.

feature-planning

Comprehensive planning workflow for brownfield feature addition - Codebase analysis, requirements, integration design, impact assessment Flow: Process Feature Planning Request → Codebase Discovery → Feature Requirements Gathering.

feature-integration-design

Building block for designing feature integration with existing codebase Flow: Process Feature Integration Request → Analyze Existing Architecture → Identify Integration Points.

documentation-planning

Comprehensive planning workflow for documentation - Audit existing docs, scope definition, structure design, and approval Flow: Process Documentation Request → Audit Current Documentation → Define Documentation Scope.