🧠 TaskPilot AI

Autonomous Multi-Agent Engineering Workflow Assistant

Dell Hackathon 2026


📌 Executive Summary

Modern software engineers work across multiple tools such as Jira, GitHub, Slack, Email, Calendar, Meeting Notes, and ServiceNow. As information becomes distributed across these systems, engineers spend significant time collecting information, switching contexts, and manually deciding what to work on next.

TaskPilot AI is an autonomous multi-agent system that continuously monitors engineering systems, discovers hidden work, unifies fragmented context, intelligently prioritizes tasks, evaluates issue quality, and generates actionable daily execution plans.

The goal is not simply task management but reducing cognitive load and enabling engineers to focus on building software.


📚 Research Roadmap

Section 1 → Understanding Modern Engineer Workflow & Context Fragmentation
Section 2 → Existing Solutions & Market Gap Analysis
Section 3 → User Personas & Pain Points
Section 4 → Problem Statement & Design Goals
Section 5 → Why Agentic AI & Multi-Agent Architecture
Section 6 → Final Multi-Agent System Design
Section 7 → POC Scope & Demo Scenarios
Section 8 → Implementation Plan & Technology Stack

SECTION 1

🔍 Understanding Modern Engineer Workflow & Context Fragmentation

Objective

Understand how software engineers work daily and identify why work becomes fragmented across multiple systems.


A Typical Engineer's Day

🌅 Morning (8:00 AM – 9:00 AM)