Ship Quality & Secure code while you sleep.
A full AI engineering team — developer, architect, PM, QA, security, and DevOps — that shares context, remembers decisions, and ships code autonomously. This isn't autocomplete. It's an AI team that knows your codebase.
Stop vibe coding. Start shipping with confidence.
One governed pipeline. Every feature flows through planning, implementation, testing, security review, and QA — all autonomous, all auditable.
Real Codebases, Real Gains
Real projects. Real AI teams. Production code shipped autonomously.
Customer StoryVibeFlow has fundamentally changed how I build software. It allows me to code from anywhere, even directly from my mobile phone, which makes it incredibly convenient to capture ideas and implement changes on the go.
AI agents are powerful.
Without structure, they're unreliable.
Every session starts from scratch. Agents forget what they learned, step on each other's work, and burn tokens re-discovering context that should have been persisted.
Context Loss
Agents start fresh every session. Architecture decisions, file conventions, and past failures are gone — forcing you to re-explain everything.
No Coordination
Multiple agents step on each other's work. No locking, no claiming, no awareness of what other sessions are doing.
No Work Queue
You manually tell agents what to do every time. There is no structured backlog, no priority ordering, and no autonomous task discovery.
Design Drift
Agents ignore your design system, invent their own conventions, and produce inconsistent code because specs live outside their context window.
No Audit Trail
No trace from requirement to implementation. You cannot see which agent changed what, when, or why — making debugging a guessing game.
Wasted Tokens
40-50% of tokens are spent on repeated context. Every session re-reads the same files, re-discovers the same patterns, and re-learns the same conventions.
The difference VibeFlow makes
Go from manual, session-by-session AI coding to fully autonomous, context-aware development with persistent memory.
Before VibeFlow
VibeFlow
Stop coding alone.
Build with an AI team.
VibeFlow gives you a full team of AI specialists — a developer, architect, product manager, QA engineer, security lead, and DevOps engineer — all sharing context and working together on your project.
Alex
Senior Software EngineerYour workhorse. Give Alex a feature spec, a bug report, or a todo — and get back working code with tests, committed to a clean branch.
- Implements features end-to-end
- Follows your project conventions automatically
- Commits with meaningful messages and clean diffs
Aria
Senior Product ManagerThinks about the why before the what. Creates PRDs, writes strategies, defines requirements, and ensures the team builds the right thing.
- Drafts PRDs, strategy docs, and feature specs
- Defines acceptance criteria and success metrics
- Reviews output from a product perspective
Morgan
Senior ArchitectLooks at the big picture. Designs systems, data models, API contracts, and catches design flaws before they become expensive refactors.
- Designs system architecture and data models
- Reviews code for scalability and maintainability
- Documents architectural decisions (ADRs)
Quinn
Senior QA LeadThinks about everything that can go wrong — and writes tests to prove it won't. Ensures the code your team ships actually works.
- Writes comprehensive test suites
- Identifies edge cases and failure modes
- Validates against acceptance criteria
Casey
Security LeadScans every change for security issues — injection vulnerabilities, auth gaps, data exposure risks, and compliance violations.
- Identifies OWASP Top 10 vulnerabilities
- Validates authentication and authorization flows
- Ensures SOC 2, HIPAA, ISO 27001 compliance
Parker
DevOps EngineerHandles the last mile — getting code from a branch to production safely. Deployment configs, CI/CD pipelines, and operational monitoring.
- Configures deployment pipelines and GitOps
- Sets up monitoring, alerting, and logging
- Orchestrates canary deployments and rollbacks
Precision context. Every level.
Not a giant context dump. VibeFlow organizes knowledge at four levels — project, feature, todo, and issue — so agents load only what's relevant to the task at hand. The result: faster execution, fewer tokens, zero hallucination from stale context.
Project Context
Feature Context
Todo & Issue Context
Git-Backed Truth
When Alex works on Todo #247, VibeFlow loads the project architecture, the parent feature's gotchas, and the todo's attached design doc — nothing more. Precision retrieval means fewer tokens, faster execution, and zero noise from unrelated context.
"It's like having a team that's been working on your project for a year, from day one. They know the codebase, they know the patterns, and they never forget a lesson learned."
Everything agents need to ship autonomously
Seven integrated capabilities that turn AI coding agents from powerful-but-chaotic into reliable, autonomous implementers.
Visual Project Management
A drag-and-drop swimlane board that gives humans full visibility into project status. Features flow through a defined lifecycle — from planning to done — with real-time status updates and progress tracking.
- Nested hierarchy: Projects, Features, Todos, and Issues
- Auto-refresh dashboard with real-time status updates
- Status cascade — completing all todos marks features done
- Progress tracking with completion percentages and counts
From plan to shipped code
Five steps from a feature request to a verified git commit. Humans plan, agents execute, VibeFlow orchestrates.
Plan the work
Define features, write specs, attach design docs and context files in the visual dashboard.
Agent initializes
Agent calls session_init, loads project context, design docs, and discovers the work queue.
Autonomous execution
Agent polls for work, implements features, runs tests, and commits to git with tracked line counts.
Context captured
Agent updates context files with what it learned — gotchas, decisions, and implementation notes.
Review & repeat
Check the kanban, verify QA, approve or reject. Agent polls for the next item automatically.
Cut token costs by 45-65%
Structured context loading eliminates redundant token consumption. Agents spend tokens on implementation, not re-discovering your codebase.
Terminal UI for all your agents.
A terminal-native session manager that lets you launch, switch between, and supervise multiple AI coding agents from a single interface. Whether you're running Claude Code, OpenAI Codex, or Google Gemini — VibeFlow CLI keeps them all organized, isolated, and productive.
Open source on GitHub
Multi-Session Management
Launch multiple AI coding sessions in isolated tmux sessions. Switch between them with a single keypress — every session's provider, branch, and status visible at a glance.
Any AI Coding Agent
Built-in support for Claude Code, OpenAI Codex CLI, and Google Gemini CLI. Add any custom agent binary through YAML configuration.
Persona-Based Teams
Assign specialized personas — Developer, Architect, QA, Security, PM — to each session. Multiple personas work concurrently without conflict.
Git Worktree Isolation
Every session runs in its own git worktree on its own branch. No merge conflicts between concurrent agents. Automatic cleanup when sessions end.
Autonomous Execution
Connect to a VibeFlow server and agents become fully autonomous — polling tasks, implementing, committing, and reporting back while you supervise.
Single Go Binary
Zero external dependencies beyond tmux. Everything embedded — agent configs, provider definitions, full TUI. Works on macOS and Linux out of the box.