DevOps Agent Suite
Automated issue resolution and parallel task orchestration for development teams.
The Problem
Development teams spend countless hours on repetitive issue triage and resolution. Context switching between repositories and manual task coordination creates bottlenecks that slow down shipping.
The Solution
A multi-agent system that automatically triages issues, researches context across repositories, and orchestrates parallel task execution. Agents collaborate to resolve issues while keeping humans informed at key decision points.
Architecture
%%{init: {'theme': 'dark', 'themeVariables': { 'fontFamily': 'Inter', 'secondaryColor': '#1e293b', 'primaryColor': '#3b82f6', 'primaryBorderColor': '#60a5fa' }}}%%
graph TB
subgraph Discovery ["Task Discovery"]
A["Task Sources<br/>(GitHub/Jira/Linear)"] --> B["Parallel Runner"]
end
subgraph Execution ["Parallel Execution"]
B --> C1["Agent 1"]
B --> C2["Agent 2"]
B --> C3["Agent 3"]
C1 --> W1["Worktree"]
C2 --> W2["Worktree"]
C3 --> W3["Worktree"]
W1 --> PR1["Pull Request 1"]
W2 --> PR2["Pull Request 2"]
W3 --> PR3["Pull Request 3"]
end
subgraph Feedback ["Feedback Loop"]
PR1 --> D["Stream Monitor"]
PR2 --> D
PR3 --> D
D --> E["Session Resume"]
E --> F["PR Review Agent"]
F --> G["Auto-merge"]
end
classDef default fill:#0f172a,stroke:#334155,color:#fff,stroke-width:1px;
classDef agent fill:#0f172a,stroke:#3b82f6,color:#fff;
classDef process fill:#0f172a,stroke:#334155,color:#fff;
class C1,C2,C3,F agent;
class B,D,E,G process;
AI Agent
Process Step
Tags
TypeScriptMulti-AgentGitHub API
Outcomes
- ~50% reduction in issue triage time
- Parallel execution across multiple repositories with session resume
- Auto-fix CI failures and PR feedback iteration