Overview
StarSling is an agentic internal developer portal (IDP) designed to house internal services, applications, APIs, and documentation, with AI agents continuously improving them. It aims to be an AI-native, developer-first experience built for Series B+ scale companies.
Key Features:
- One central dev homepage
- AI-Powered Actions: Agentic workflows for tasks like fixing exceptions, flaky tests, and updating engineering documentation.
- Unified Developer View: Connects all engineering tasks, services, tools, and documentation in one hub.
- Memory & continuous improvement: A system of agents that learns how developers complete engineering tasks.
- No Lock-in: Allows users to bring their own AI model keys and MCP servers.
- Bring your dev tools: Unlocks automation across existing development tools.
- Effortless Setup: Provides pre-configured workflows for integrations.
Use Cases:
- Automating tasks across deployments, performance, incidents, and bugs.
- Handling annoying tasks outside of coding.
- Reducing constant tab-hopping.
- Minimizing unplanned distractions.
- Completing complex tasks across various dev tools.
Benefits:
- Ship faster.
- Fast, unified, agent-powered development.
- AI handles grunt work, allowing developers to focus on building features.
- Blow through personal engineering tasks.
- Stop wasting time outside the IDE.
Capabilities
- Automates tasks across deployments, performance, incidents, and bugs
- Manages internal services, applications, APIs, and documentation within an agentic internal developer portal (IDP)
- Continuously improves existing internal services, applications, APIs, and documentation using AI agents
- Provides a centralized developer homepage for managing engineering tasks, services, tools, and documentation
- Integrates with developer tools such as GitHub, Sentry, and Linear to create a personalized developer homepage
- Executes AI-powered actions for tasks including fixing exceptions, resolving flaky tests, and updating engineering documentation
- Utilizes agentic workflows and built-in templates for task automation
- Learns and adapts to individual engineering task completion methods through a system of agents with memory and continuous improvement capabilities
- Supports the integration of custom AI model keys and MCP servers, ensuring no vendor lock-in
- Facilitates automation across existing developer tools through pre-configured workflows for integrations
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