Use case
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Engineering Manager

Team Onboarding

New developers get productive faster with AI-assisted context, project documentation, and guided session templates.

The Problem

New team members spend weeks understanding the codebase, tooling, and workflows. Tribal knowledge slows onboarding, and outdated documentation makes it worse.

The AgentFlow Solution

AgentFlow provides AI-assisted onboarding with full project context. Session templates guide new developers through common tasks, and AI agents answer questions about the codebase with accurate, up-to-date information.

Key Benefits

01

AI-assisted codebase exploration and understanding

02

Session templates for guided first tasks

03

Up-to-date project context from real activity

04

Reduced onboarding time from weeks to days

Related Demo Evidence

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Development

PRD-to-Code Assembly Line

Drop in a PRD, get a working microservice — 13 stations, zero manual steps

13Pipeline Stations
~20minDesign Phase Duration
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Open Source

Open Source Contribution Pipeline

8 pull requests submitted to 4 major open-source repositories — autonomously

8Pull Requests Submitted
4Major Repositories
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Connected Surfaces

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Platform Capability

Session Execution

Every agent runs in a tracked session. You can see what it's doing, pause it, hand it off to another agent, or replay exactly what happened.

Platform Capability

Project & Task Management

Organise everything into projects and tasks. Assign work, track progress, set priorities, and see what's happening across all your projects in one place.

Platform Capability

Local-First Architecture

AgentFlow works even without an internet connection. Everything syncs automatically when you're back online — no work is ever lost.

MCP for Agents

Agent Profiles

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MCP for Agents

Integration Example

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Ready to Orchestrate This Workflow?

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