Toco AI

Model-Driven AI Coding Tool

Complete elegant backend with minimal cost by introducing 'AI Architect' and 'AI Programmer'

Now Supporting: Java Developing: Go/Python/Node.js

A More Reliable AI Architect

Architecture First. Stop AI from generating spaghetti code. Input your requirements, and the AI Architect handles the modeling effortlessly. No matter how many iterations, the architecture remains 100% consistent, keeping long-term projects as clear and controllable as Day 1.

More Controllable Code

The engine generates consistent framework code directly from the design. No guessing, no mess, no layer violations, and no style drift. You focus only on the remaining 20% of business logic, dropping code review costs by an order of magnitude.

Effortless Refactoring

Change a field, a relationship, or a flow—model and code sync in real-time. 99% of changes need no extra review. No more worrying about AI fixing one thing but breaking ten others. Faster iterations, stable quality, and total peace of mind.

A More Reliable AI Architect

More Controllable Code

Effortless Refactoring

Cursor / Claude Code (Conversational Coding)

Toco AI (Model-Driven Development)

Reviewer

Like an 'AI QA Inspector'

Afraid AI will write bugs, spending all energy on correcting minor details

Your Role

Controller

Is the 'Project Chief Architect'

Focus on business logic and top-level architecture, no need to get bogged down in details

Schrödinger's Code

Like 'Schrödinger's Code', hidden dangers are hard to find

Looks fine on the surface, but may hide vulnerabilities, always feels a bit uneasy

Code Reliability

WYSIWYG

Design = Code, What You See Is What You Get

Clear layering meets standards, almost never step on 'invisible logic traps'

Rely on Luck

All about 'luck' with prompts

Generated structure is highly random, always worrying 'will the next line go wrong'

When Coding

Rely on Engine

Like working with a precise blueprint

Engine generates 80% of code, structure is clear and unambiguous

Manual Patching

Have to regenerate code, rely purely on analyzing existing code to change, easy to miss changes

The larger the project, the harder to maintain, relying entirely on human patching

When Changing Requirements

Automated Operations

Change the model, all code syncs automatically

No need to look for modification points everywhere, easy transition even with personnel changes

Grading Essays

Exhausting! Like grading a long essay, mental burden is maxed out

During Review

Fill-in-the-Blanks

Relaxed! Only need to look at 20% of business code, ignore skeleton code

Personal Habits

Rely on personal Prompt ability, code style varies by person

Newcomers have to gnaw through a pile of rule documents, high threshold for taking over projects

Team Collaboration

Universal Blueprint

Code style automatically unified, no need to memorize rules

Newcomers get started quickly, communicate via visual models without gaps

Disposable

The chain of thought for generating code is gone after use, no reference for future maintenance

May 'do once and throw away', no real asset accumulation

Project Assets

Inheritable

Model is 'Living Doc + Code Source', look directly at model for maintenance

No need to dig through scattered records, strong inheritability

Value of Toco for Teams

Production-Level Efficiency Improvement

Establish constraints and rules for Large Language Models Achieve stable and trustworthy code generation Multiply development quality, faster delivery, and lower maintenance costs

Controllable R&D Process

Improve R&D management consistency Reduce execution costs of architecture and standards Smoothly handle requirement changes, architectural extensions, and system refactoring

Inheritable R&D Assets

Design no longer scattered in brains, group chats, and conversations Models become visual design documents shared by the team New members get up to speed with the project globally in one day

What Our Users Say

Ethan

Back-end Developer

Toco AI makes it way easier to handle changes in the backend. Even a small change, like tweaking one database table, could affect the whole system before, but now it’s much easier to keep track and avoid mistakes.

Noah

Back-end Developer

The fact that it can automatically generate flowcharts and sequence diagrams is super helpful. Before, I had to go through the code line by line to figure out production issues. Now, having these system design visuals makes it way easier to discuss things and solve problems.

Alex

Independent Developer

I took on a digital student ID project. With Toco AI, I completed both the frontend and backend in just about two days.It automatically handled domain modeling and system design, allowing me to focus on implementation rather than setup. This dramatically improved my development speed and overall productivity.

Henry

System Architect

Toco AI automatically performed domain modeling and design. Its DSL-based approach keeps design and code strictly aligned, making code reviews straightforward and significantly simplifying future iterations and maintenance.

Isabella

Full-stack Developer

Tools like Cursor and Claude are great for small code snippets, but once you start building a real product with real-world complexity, they tend to fall apart. Toco AI, on the other hand, makes the architecture much easier to reason about and helps avoid a lot of the weird hallucinations you get from pure code generation.

Liam