From Idea to Shipped Code
You describe what you need. AI writes the code. Engineers ensure quality. Here's exactly what happens at every step.
Set Up Your Project
Connect an existing GitHub repo with read-only access, or describe what you want to build from scratch. For existing codebases, our AI runs an 11-phase analysis — architecture, dependencies, test coverage, patterns. For new projects, AI helps shape your vision into project milestones and features. Either way, you get a development plan within hours.
Baseline project milestones, a feature map, and quality standards configured to your project.
Describe What You Need
Chat with your AI Product Owner in plain language. Describe a feature, a bug fix, or an entire product. The AI creates feature requests with success conditions and estimates effort units based on your project scope — not guesswork.
Feature requests on a project dashboard with success conditions, priorities, and effort unit estimates.
AI Builds, Engineers Review
AI implements your features while experienced engineers ensure everything meets quality standards. Every delivery is automatically tested, validated, and engineer-reviewed before it reaches you. You see feature requests move across your board — from In Progress to Done.
Production-ready code, reviewed by experienced engineers. You get read-only access to the repository via SSH keys or access token.
Review Working Software
Every feature request is a demo. You see exactly what was built and test it against your success conditions. Approve what meets expectations, request changes on what doesn't. The board updates automatically — no status meetings, no manual tracking.
Approved features shipped, development cycle metrics tracked, next development cycle scoped.
Built on Principles
Every decision in the platform reinforces these four commitments.
You Stay in Control
Nothing happens without your approval. You set priorities, approve development cycle scope, review deliveries, and decide when to ship.
Quality is Structural
Readiness check blocks unclear work from entering development cycles. Quality check blocks incomplete work from reaching you. Quality gates are built into every step.
Transparent Progress
Your project dashboard is the single source of truth. Feature requests move automatically as work progresses. No status meetings needed — you always know where things stand.
Continuous Improvement
Every development cycle ends with a performance review. Delivery speed, estimation accuracy, and quality scores are tracked. The AI and engineers improve development cycle over development cycle.
Choose Your Approach
Toolwiz supports three terminology modes — Simple (plain language), Scrum (agile framework), and Spec (engineering specifications). Learn about each approach and find the right fit for your team.
Methodology GuideCommon Questions
How does AI-accelerated development actually work?
You describe what you need in plain language. Our AI team creates feature requests with success conditions and estimates effort units based on your project scope. You approve the development cycle scope, then our team builds the features while you track progress on your board. Engineers review everything before delivery.
How do I track progress?
Your project dashboard updates automatically as features move through the pipeline. You'll see feature requests move from planning to in-progress to ready for review — no status meetings needed. You can also chat with your AI team anytime to ask about progress, priorities, or timeline.
What if my requirements change mid-development cycle?
That's what iterative development is built for. We can adjust effort units and re-prioritize the feature queue. If changes are significant, we'll propose a development cycle scope adjustment. Feature requests that haven't started can be swapped out. You're always in control of what gets built.
Ready to See It in Action?
Sign up for free and start your first development cycle. We'll walk you through the platform and scope your project.