DevFlow AI

14 ModulesEverything 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.📋 PlanDocument 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⚡ BuildDesign 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🧪 QualityAI 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🚀 ShipSee 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 AgentBring 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 contextBuilds a file tree + function/class signature map of your codebase before every agentic task — no manual context needed.🛠 Real tool callingread_file, write_file, search_code, run_command — the agent takes real actions on real files in your project.✅ Plan approval gateReview and edit the agent's step-by-step plan before it executes anything. You stay in complete control.🔍 Optional RAGChromaDB + sentence-transformers for semantic code search across large codebases. Gracefully skipped if not installed.Before & AfterWhat 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 terminalsFull feature cycle: spec → code → test→ One unified workspace. No context-switching.Before: manually writing boilerplate test files per frameworkGenerate 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 commitStage and commit across multiple repos→ All repos in one Git panel. One screen, done.Before: describing screens in Figma, then describing them again for devsCreate 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 fileAI 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 chatAsk The AI About Your Project Data→ AI Chat queries your database and answers from your data.