DeX SDLC Series Module 4 of 9 · Sprint Orchestration Accredited Architecture

Plan & Task: Work Breakdown & Sprint Orchestration

Discover how DeX breaks specifications into DAG dependency graphs and orchestrates concurrent multi-agent sprints.

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Course Learning Progress 4 of 9 Completed (44%)

Next Up: 05 · Build & Code

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00:00

DeX Architect Atomic Tasks

Welcome to Episode 4. Here, formal specifications are compiled into atomic, independent work items.

01:00

DeX Architect DAG Graph

A Directed Acyclic Graph models the exact prerequisite chains between database migrations, backend services, and frontends.

02:10

DeX Architect Parallel Agents

Specialized agents are assigned parallel branches on the DAG, avoiding blocking bottlenecks and file write collisions.

03:15

DeX Architect Critical Path

Critical path analysis dynamically balances compute resources to accelerate delivery time and resolve upstream blockers.

04:00

DeX Architect Telemetry

Real-time sprint dashboards report exact execution velocity and dependency resolution states.

Curriculum Specs & Deep Dive

Lesson Overview & Engineering Resources

Comprehensive architectural analysis, verifiable schemas, personal scratchpad, and comprehension quiz.

Task Orchestration

From Specification to Directed Acyclic Graph (DAG)

Building software quickly requires knowing exactly what can run concurrently and what must wait. See how DeX synthesizes task trees and orchestrates parallel agent execution.

1. The Geometry of Software Workflows

In traditional agile sprints, human project managers spend days breaking epics into stories, estimating story points, and figuring out blocker chains. In DeX, the Planner Agent performs structural decomposition mathematically.

By analyzing entity schemas, foreign keys, and API dependencies created during the Specification phase, DeX constructs a Directed Acyclic Graph (DAG) of atomic, independently verifiable tasks.

Parallel Agent Execution

Independent branches of the DAG—such as building frontend UI components and backend database schemas—are dispatched to parallel AI agent instances simultaneously, compressing delivery timelines from weeks into minutes.

2. Plan & Task Core Capabilities

Dependency Analysis & DAGs

Automated isolation of upstream prerequisites so no agent writes code before prerequisite interfaces exist.

Atomic Task Scoping

Every task is bounded by exact file targets, acceptance criteria, and schema references to prevent context bloat.

Dynamic Replanning

If an upstream schema changes or a test fails, the planner dynamically refactors downstream dependencies.

DeX Task Graph and Sprint Orchestrator

Figure 4.1: DeX Task Decomposition Graph & Multi-Agent Execution Board DAG Task Board

3. Video Walkthrough Breakdown

In Episode 04, watch the complete workflow of sprint planning and task generation:

Ingesting the Episode 03 specification and extracting atomic deliverables.
Viewing the live graphical DAG and critical path milestone estimates.
Assigning individual tasks to specialized builder subagents for concurrent execution.

Engineering Artifacts & Specs

Download architectural blueprints, schema contracts, and pipeline definitions for this phase.

Phase Architecture Blueprint

High-resolution diagram of the multi-agent execution pipeline.

Download Diagram (PNG)

Agent Contract & Schema

Strict OpenAPI 3.1 & JSON Schema validation contracts.

Download Contract (JSON)

Sprint DAG Breakdown Template

Machine-readable dependency graph structure for autonomous sprints.

Download Template (YAML)

Full SDLC Curriculum Syllabus

Complete curriculum breakdown covering all 9 autonomous delivery phases.

View All 9 Episodes

Personal Learning Scratchpad

Type notes as you follow along. Notes are automatically saved to your browser's local storage.

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Module Comprehension Assessment

Test your understanding of the architectural principles covered in this episode.

Question 1 of 2

How does a Directed Acyclic Graph (DAG) accelerate autonomous delivery in DeX?

It forces all agents to work sequentially on a single file. It maps exact dependency trees so non-blocking tasks run in parallel across distributed agents. It eliminates the need for build verification. It turns off error logging.

Question 2 of 2

What happens if a task along the critical path encounters a blocker?

The DAG automatically recalculates downstream dependencies and prioritizes remediation. The entire system halts permanently. All completed work is deleted. DeX defaults to manual coding.