🖥 AI-Powered Developer Workspace · Early Access

Plan. Build. Test. Ship.
One workspace. AI throughout.

DevFlow AI is a local-first desktop workspace that takes you from the first spec to the final commit — without switching tools. Bring any AI model. Everything stays on your machine.

✦ Request Early Access Explore features →

User Authentication Workflow

Generates JWT middleware, login endpoint, and token refresh logic

✓

1. Analyze existing codebase

Inputs: src/auth/, package.json → scanned middleware patterns

▶

2. Generate JWT middleware

Writing jwt.middleware.ts · verifyToken · refreshToken helpers

○

3. Create /auth/login endpoint

POST route · bcrypt compare · return signed JWT

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4. Write integration tests

Jest + supertest · 401, 200 coverage · token expiry case

AI Output Stream

✓ Codebase analyzed

> Reading src/middleware/

> Found: cors.ts, logger.ts

> Writing jwt.middleware.ts

✓ verifyToken exported

> Writing token.service.ts

> Injecting dependencies...

> Updating index.ts imports

[STEP: 2/4] Streaming...

Step 2 of 4 · 50% complete

claude-sonnet-4-6

SDLC modules in one app

AI backends supported

Test frameworks auto-parsed

Cloud accounts required

Themes — Light · Dark · Midnight

14 Modules

Everything you need. Nothing you don't.

Every module is purpose-built for a specific part of the dev lifecycle — from the first spec to the final commit.

📋 Plan

Document your requirements, design the architecture, and generate UI screens — all before writing a line of code.

📄DocumentsWrite or ask AI to draft · docs, specs & notes

🏗️Project LayersDescribe your project · AI maps the layers

🎨UI MockupDescribe a screen · AI generates the UI

🖌️StylesPick predefined or AI-generate your style

⚡ Build

Design AI-powered workflows, queue agentic tasks, track issues, run commands, and chat with your project as context.

⚡WorkflowDocs & screens in · AI generates testable workflows

▶️Workflow RunnerRun workflow layers via CLI agents · any model

🐛Tasks & IssuesTasks & bugs linked to your project

🔄Tasks QueueQueue tasks & issues · execute via CLI agents

🖥️TerminalRun commands · AI integrated

💬AI ChatQuery your data · AI answers from your database

🧪 Quality

AI detects your language and generates tests. Run them live with streaming output and keep a history per layer.

🧪Unit TestsAI-generated tests · scoped to your codebase

▶️Test RunnerRun tests · pass/fail results in-app

🚀 Ship

See git changes across all your repos in one panel and configure AI models, backups, and notifications.

📦Git ChangesDiff, stage & commit without leaving the app

⚙️SettingsAI models · preferences · project options

🤖 AI Backends & Integrated Agent

Bring any model. No vendor lock-in.

Connect any AI backend — cloud or fully local. Assign a different model to each module: Documents on Claude, Workflows on Ollama, Mockups on Gemini. Your API keys are encrypted and never leave your machine.

Anthropic ClaudeGoogle Gemini CLIOpenAI-compatibleOpenRouterGroqLM StudioTogether AIAider CLI🖥 Ollama (local)🤖 DevFlow Agent

🤖 DevFlow Agent — what it can do

📖 Repo-aware context

Builds a file tree + function/class signature map of your codebase before every agentic task — no manual context needed.

🛠 Real tool calling

read_file, write_file, search_code, run_command — the agent takes real actions on real files in your project.

✅ Plan approval gate

Review and edit the agent's step-by-step plan before it executes anything. You stay in complete control.

🔍 Optional RAG

ChromaDB + sentence-transformers for semantic code search across large codebases. Gracefully skipped if not installed.

Before & After

What DevFlow AI handles for you.

Not abstractions — real tasks that used to take hours, now handled in minutes without leaving the app.

Before: ~~hours switching between Figma, Notion, and 3 terminals~~

Full feature cycle: spec → code → test

→ One unified workspace. No context-switching.

Before: ~~manually writing boilerplate test files per framework~~

Generate a test suite for a new module

→ AI detects your language and generates in seconds.

Before: ~~opening separate terminals per repo just to stage and commit~~

Stage and commit across multiple repos

→ All repos in one Git panel. One screen, done.

Before: ~~describing screens in Figma, then describing them again for devs~~

Create a UI mockup from a feature description

→ Describe the screen. AI generates the UI instantly.

Before: ~~copy-pasting from ChatGPT into the editor, file by file~~

AI writes code into the actual codebase

→ DevFlow Agent writes directly to your files with tool calls.

Before: ~~re-explaining project context at the start of every AI chat~~

Ask the AI about your project data

→ AI Chat queries your database and answers from your data.

Early Access

Be the first to get access.

DevFlow AI is currently in development. Sign up for early access and we'll reach out as soon as a spot opens — no spam, just one email when you're in.

Windows at launch · macOS & Linux coming soon · Free to download

Plan. Build. Test. Ship.One workspace. AI throughout.