Skip to main content
This guide takes you from nothing to a working MyaiOne for Development project. You’ll sign in, create a project (either scaffolded fresh or from code you already have), and land on your project Dashboard.
1

Sign in to MyAIOne

Go to dev.myai1.ai/login and sign in with your email and password, or use passkey. New to MyAIOne? Use the register link to create an account first.Screenshot 2026 06 22 At 4 21 48 PM
2

Open MyaiOne for Development and start a new project

From your MyAIOne dashboard, open the MyaiOne for Development rig. Inside MyaiOne for Development, click + New Project (top right) to launch the Add Project wizard — a 5-step flow that sets up your project with optional CI/CD and a preview deploy.SCR 20260622 Nxzo
3

Choose how to start

On the wizard’s first step, pick a path. You can switch later by restarting the wizard.
  • Start a new project — scaffold from a curated toolchain; MyaiOne for Development seeds the README, CI workflow, and agent files.
  • Open an existing project — bring in code you already have, from a local folder or cloned fresh from GitHub. Screenshot 2026 06 22 At 4 24 35 PM
The next three steps differ depending on which path you choose:
Step 2 — Toolchain. Pick a starting point. Search or filter by category (Backend / Web / Mobile / Desktop) and choose a toolchain — for example Python (uv, ruff, mypy, pytest), JavaScript / TypeScript (Node, ESLint, Vitest), React (Web), Go, Rust, .NET (C#), Java, or Ruby. The agent scaffolds framework choices from your project description in the next step.Screenshot 2026 06 22 At 4 26 42 PMStep 3 — Details. Give the project a name, confirm its location, and add an optional description. The description is written into the agent context file (AGENTS.md) and read by the AI on first interaction, so describe the goal, the audience, and any non-obvious constraints. A “Files we’ll seed” panel previews what gets created (README.md, AGENTS.md, .github/workflows/ci.yml, .gitignore).Screenshot 2026 06 22 At 4 27 19 PM
4

Review the CI/CD quality baseline

On the CI/CD step, MyaiOne for Development installs a complete staged CI/CD quality baseline and shows what it configured — security gates (SAST, secrets, dependency CVEs, filesystem, deep-scan), the quality gates it set up (Build and tests, Semgrep SAST, Gitleaks secrets, Dependency review + OSV, Trivy filesystem, CodeQL nightly), and the agent flow (Detect → Plan → Patch → Verify). For existing projects, your current files are preserved and new artifacts are staged for safe apply.Screenshot 2026 06 22 At 4 28 19 PM
5

Confirm and create

The final Confirm step shows a project summary, an AGENTS.md preview, and Test Center — preview & build defaults, where you can set the build strategy (Auto, Nixpacks, Dockerfile, or Compose) or skip and configure it later. When you’re ready, click Create Project.Screenshot 2026 06 22 At 4 29 06 PM
Not sure about the build settings? Leave Auto (Recommended) selected, or tick Skip and configure later — you can adjust everything from Test Center after the project is created.
6

You're in

MyaiOne for Development creates the project and drops you on the Dashboard — live project health and queue insights. You’ll see status cards (Tasks Completed, Tasks in Queue, GitHub Issues, Latest Test Run, Agents Running, System Utilization) and the kanban board (Planning → Queue → In Progress → AI Review → Human Review → Done), empty and ready for your first task.Screenshot 2026 06 22 At 4 29 49 PM
Your MyaiOne for Development project is live. Sign-in done, project created, workspace ready — from here you can add a task on the board, or jump into one of the guides below.