Built for software consultancies

Ship features 10× faster
with AI-powered code generation

Give your dev team a private AI workspace that generates full codebases from schemas, implements features in existing repos, auto-documents your code, and tracks every AI cost — so you deliver more, impress clients, and grow your consultancy.

Book a free demo See how it works

CodeBuilder

main AI

FILES

Controllers/

ProductController.cs

Services/

IProductService.cs

ProductService.cs

Tests/

ProductControllerTests.cs

ProductController.cs

using Microsoft.AspNetCore.Mvc;

using System.Collections.Generic;

public class ProductController : Controller

{

private readonly IProductRepository _repo;

public ProductController(IProductRepository repo)

{

_repo = repo;

}

using Microsoft.AspNetCore.Mvc;

using Microsoft.Extensions.Logging;

public class ProductController : Controller

{

private readonly IProductService _svc;

private readonly ILogger<ProductController> _log;

public ProductController(

IProductService svc,

ILogger<ProductController> log)

{ _svc = svc; _log = log; }

}

How it works

From feature request
to working code

CodeBuilder connects to your team's repositories and turns natural language descriptions into clean, tested, production-ready code in minutes.

Connect your repositories

Link GitHub, Azure DevOps, or upload a ZIP. CodeBuilder reads your structure, libraries, and patterns.

Select a project

Choose a client project from your workspace. Each project is isolated with its own codebase context.

Describe the feature

Your developer chats with the AI in plain English. No special prompts or configuration required.

Review & ship

CodeBuilder generates files, services, and tests. Review, adjust if needed, and ship to the client.

Choose a project to open the workspace

API - Payments

C# · .NET 8 · 3 libs

AzureDevOps

Eccomerce WebAPI

C# · .NET 8 · 7 libs

GitHub

API Gateway Service

C# · .NET 8 · 5 libs

GitHub

Frontend MarketVille

TypeScript · 12 libs

ZIP

AI Code Editor

AI that understands
your codebase

Unlike generic AI tools, CodeBuilder reads your actual project structure before generating anything. It matches your patterns, naming conventions, existing services, and DI configuration.

Context-aware generation — sees your IRepository base, service patterns, namespace structure, and generates code that fits naturally.

Multi-file generation — creates interface, implementation, controller, and DI registration in one shot. Never just a code snippet.

Chat-driven workflow — developers iterate via natural language. No special prompts, no complex setup. Just describe and generate.

CodeBuilder

main AI

New FeatureMarketVille

Feature name

New Product Service

Board task

e.g. PROJ-123

User story / prompt

You are a senior .NET software architect specializing in Clean Architecture and layered application design. Context: The current project architecture has an incorrect dependency flow where Controllers call Repositories directly and there is no Service layer… Task: Introduce a Service layer between Controllers and Repositories, register DI, and align with existing patterns.

Branch

master

Model

Gemini 1.5 Pro Preview

Controllers/

ProductController.csMODIFY

Models/

Product.csCONTEXT

ProductDetail.csCONTEXT

ProductDetailIndexModel.csCONTEXT

Repository/

IProductRepository.csCONTEXT

ProductRepository.csCONTEXT

Services/

IProductService.csCREATE

ProductService.csCREATE

Startup.csMODIFY

Total token usage

0 / 8,192CTX · CHG

New Files

Services/IProductService.csnew

Services/ProductService.csnew

Modified

—

Context Files

Models/Product.csctx

Repository/IProductRepository.csctx

+3 more selected…

Refresh Suggestions

Map Dependencies

Generate

Platform features

Everything your consultancy needs
to scale delivery capacity

Code Generator

Provide a DB schema and get back a complete, layered codebase — API, business logic, data access, front-end, and tests — ready to download as ZIP.

Schema → codebase

Feature Implementer

Describe a user story or ticket and CodeBuilder analyses your existing codebase, generates the changes, and creates a Git branch ready for review.

Story → branch

Feature Documenter

Select source files and get complete technical documentation in Markdown — API reference, architecture overview, and usage guide — based on real code.

Code → docs

Dashboard & Analytics

Track jobs, token usage, and AI cost by project, by agent, and by model. Full execution history for ROI reporting and client billing transparency.

Full observability

Multi-project workspace

Manage all client projects in one place. Each project has its own repo connection, AI model config, and team permissions — fully isolated.

Built for agencies

Choose your AI model

Configure GPT-4o, Gemini, Claude, or Mistral per project. Optimize for cost, speed, or quality based on each client's needs and budget.

Model-agnostic

Code Generator

From schema to
full codebase in minutes

Provide a database schema and CodeBuilder generates all layers — API, business logic, data access, front-end, and unit tests — organized and ready to download as ZIP.

Layer-by-layer generation — back-end API, business rules, data access, front-end, and unit tests generated separately so you can take exactly what you need.

Real-time progress — watch each layer complete in sequence. Review in the integrated editor and download as ZIP when ready.

Reuse previous generations — use past generations as context for new ones, building up a consistent module library across your projects.

CodeBuilder

main

New Generation

Configure and start a new code generation run.

Engine

The engine defines which layers and prompts are used for generation.

C# .NET Core 8+ — MVC

EntityRepositoryDtosAdaptersServiceController

Java + Spring Boot

ModelRepositoryDtosServiceController

Angular 12+

FE-ModelFE-ServicesFE-Components

C# .NET Core 8+ — MVC — Unit Tests

Repository-TestsAdapters-TestsService-TestsController-Tests

JAVA — Unit Tests

Service-Tests

Generate schema from user stories

Optionally, describe your features as user stories and let the AI suggest a database schema for you.

As a user, I want to register with my email… As an admin, I want to manage user roles…

Input schema / DDL

Paste your database schema, DDL, or entity definitions. This is the primary input for code generation.

CREATE TABLE Users (
  Id uniqueidentifier PRIMARY KEY,
  Name nvarchar(100) NOT NULL,
  Email nvarchar(200) NOT NULL
);

AI model

Gemini 3.1 Pro Preview

Cancel

Feature Documenter

Documentation that
writes itself

Select a feature and its source files — CodeBuilder generates complete technical docs in Markdown: API reference, architecture overview, usage guide, and flow descriptions.

Based on real code — docs are generated from your actual source files, not from descriptions, so they're accurate the moment they're created.

Edit before export — review and refine the generated Markdown directly in the platform before delivering it to the client.

Documentation on every delivery — docs are generated as part of the delivery flow, not as an afterthought that never happens.

CodeBuilder

main

Documentation

Documentation Generation Interface

Introduction and Overview

This interface manages automated software documentation generation. It acts as a communication gateway for initiating documentation requests, monitoring generation progress, and retrieving completed content for your team.

Key Functionalities

Documentation initiation — create requests linked to projects and source context.
Progress monitoring — track status while the AI generates and refines sections.
Content retrieval — export Markdown, PDF bundles, or compressed archives.
Process management — pause, resume, and retry workflows when inputs change.
Information modification — update requirements and apply manual refinements before export.

System Architecture and Components

The following sections describe how the documenter service coordinates with your repository, model providers, and export pipeline — including sequence diagrams for the generation lifecycle.

Dashboard

Full visibility into your
team's AI usage & costs

Track jobs, token consumption, and cost per project, per agent, and per AI model — so you always know your ROI on AI investment.

Overview

By Project

By Agent

By Model

Executions

Jobs this month

↑ 31% vs last month

2.4M

Tokens consumed

↑ 18% vs last month

$38

Total AI cost

$0.81 per job avg

312h

Est. time saved

~6.6h per job

Recent Executions

FeatureAgentModelTokensStatus

Payment WebhookImplementerClaude 3.548kdone

Payment ModuleGeneratorGPT-4o112kdone

Auth Flow DocsDocumenterClaude 3.531kdone

Product CRUDGeneratorGPT-4o88kdone

Cost per project & model

Know exactly how much each client project costs in AI usage. Compare models by cost-per-output to optimize spend.

Individual & team views

Each developer sees their own usage. Leads see team metrics. Admins see the full tenant view — all in one dashboard.

Full execution history

Every generation logged with tokens, cost, model, and output — for internal reporting or billing transparency with clients.

The problem

Sound familiar?

Deadlines slipping because devs spend 70% of time on repetitive boilerplate instead of business logic.

Turning away projects because your team is fully booked and hiring is too slow and expensive.

Losing clients to competitors who deliver faster — even when your team's quality is higher.

Junior devs slow to ramp up on large codebases, requiring constant senior oversight.

The solution

CodeBuilder gives your
team a superpower

Each dev delivers 3× more — take on more client projects without growing headcount.

Juniors work like seniors — AI generates correct patterns from the codebase, reducing review cycles.

Impress clients with speed — first implementations in hours, not days. Win and retain more contracts.

White-label ready — your brand, your platform. A competitive differentiator competitors don't have yet.

Security & Governance

Built for teams that take
security seriously

CodeBuilder gives CTOs and engineering leads full control over what code leaves the organization, who can access each project, and how AI is used across the team.

Selective file analysis

Only the files relevant to your business logic are sent for AI analysis. Config files, secrets, API keys, and credentials never leave your environment.

No vibe coding

Developers must review the file tree and inspect every line of generated code before committing. No blind copy-paste — every change is deliberate and auditable.

Company-scoped repositories

Developers only access projects linked to the company's repositories. No side projects, no personal repos — full alignment with your organization's codebase.

Admin-controlled AI models

Only administrators can register and configure AI models and API keys. Developers use the tools — admins control the infrastructure. Your keys stay safe.

Role-based dashboards

Each developer sees their own usage. Team leads see their squad's metrics. Admins get the full picture — every user, every team, every cost — in one unified view.

Board integration & velocity tracking

Connect your project board and compare estimated story points against actual effort. When tasks finish under budget, you have hard proof that AI is accelerating delivery.

What teams say

Real results from real
development teams

We implemented a full payment gateway integration in 4 hours. That would have taken 3 days. Our client was blown away — and we're now their preferred partner for all new projects.

Marcos Silva

CTO · Nexus Software Consultancy

Junior devs now onboard to new client projects in 2 days instead of 2 weeks. CodeBuilder understands the codebase and guides them. Senior review cycles dropped by 60%.

Ana Carvalho

Engineering Lead · TechBridge Solutions

We went from 4 active client projects to 11 in 6 months — with the same team. CodeBuilder is now a core part of our pitch. Clients love AI-accelerated delivery.

Ricardo Oliveira

CEO · CodeForge Agency

FAQ

Questions from
consultancy leaders

Is my client's code safe? Who has access to it?

Your code stays yours. CodeBuilder connects via secure OAuth or token authentication. We never store raw source code — only metadata used for context.

How long does it take to set up a new client project?

Under 10 minutes. Connect your repository, select an AI model, configure team permissions, and your developers can start generating immediately. No complex configuration or training required.

Does CodeBuilder work with any programming language?

Yes, CodeBuilder works with any language your AI model supports — TypeScript, Python, Java, Go, and more. The codebase analysis adapts to the language and framework detected in your project.

How is this different from GitHub Copilot or Cursor?

Copilot and Cursor are individual dev tools. CodeBuilder is a team and project management platform — it manages multiple client projects with isolated contexts, team permissions, multi-model support, and is designed for the consultancy business model.

Can CodeBuilder document code we already have in production?

Yes. The Feature Documenter works on any code — new or existing. Connect your repository, select the feature's source files as context, and CodeBuilder generates full Markdown documentation: API reference, architecture overview, and usage guide. No codebase is too legacy to document.

How does the dashboard help control AI costs?

The dashboard breaks down token consumption and cost by project, by agent type (Generator, Implementer, Documenter), and by AI model. You see exactly which projects or models are the most expensive, with full execution history. Managers can set this up for client billing transparency or internal ROI reporting.

What happens after the demo?

We set up a 14-day pilot with one real client project at no cost. Full Growth plan access with onboarding support. If your team sees value — and they will — we move to a paid plan. No pressure, no lock-in.

Ship features 10× fasterwith AI-powered code generation

From feature requestto working code

AI that understandsyour codebase

Everything your consultancy needsto scale delivery capacity

From schema tofull codebase in minutes

Documentation thatwrites itself

Full visibility into yourteam's AI usage & costs

Sound familiar?

CodeBuilder gives yourteam a superpower

Built for teams that takesecurity seriously

Real results from realdevelopment teams

Questions fromconsultancy leaders

Ready to deliver more,with the same team?

Ship features 10× faster
with AI-powered code generation

From feature request
to working code

AI that understands
your codebase

Everything your consultancy needs
to scale delivery capacity

From schema to
full codebase in minutes

Documentation that
writes itself

Full visibility into your
team's AI usage & costs

CodeBuilder gives your
team a superpower

Built for teams that take
security seriously

Real results from real
development teams

Questions from
consultancy leaders

Ready to deliver more,
with the same team?