AI Debugger
Official@ai-debugger-inc · United States of America
Bringing debugging tools to your favorite agents.
Agent Skills by AI Debugger
Showing 10 vetted skills indexed across 1 GitHub repositories.
ai-debugger-incci-cd-workflows
Automate GitHub Actions CI/CD workflow orchestration for AIDB pipelines.
ai-debugger-inctesting-strategy
Define end-to-end testing strategies for AIDB projects across E2E, integration, unit, and framework layers.
ai-debugger-incadapter-development
Build and maintain Python, JavaScript, and Java AIDB debug adapters.
ai-debugger-incmcp-tools-development
Create and modify MCP tools for the AI Debugger with shared constants and standardized responses.
ai-debugger-inccode-reuse-enforcement
Enforce discovery of existing constants, enums, and utilities before writing code.
ai-debugger-incdap-protocol-guide
Guide DAP implementation and debugging across Python, JavaScript, and Java adapters.
ai-debugger-incskill-developer
Extract semantic metadata from Skill Units into machine-readable JSON.
ai-debugger-incaidb-architecture
Document AIDB's six-layer architecture across MCP, Service, Session, Adapter, DAP Client, and Protocol layers.
ai-debugger-inctroubleshooting
Diagnose AIDB issues across adapters, test environments, CI/CD workflows, MCP servers, and the CLI.
ai-debugger-incdev-cli-development
Implement AIDB dev-cli commands and services with Click framework best practices.
Frequently Asked Questions About AI Debugger
FAQPage SchemaWhat specific tasks does this organization enable for developers?▼
Developers can implement Debug Adapter Protocol interfaces, extract semantic metadata from units into JSON, and enforce code reuse through centralized constants. It provides a structured approach to building and maintaining cross-language adapters while ensuring architectural compliance across service and session layers.
Which technical personas benefit from these capabilities?▼
These capabilities are designed for systems engineers, adapter developers, and technical architects working on complex debugging environments. It is specifically suited for those managing multi-language projects who require standardized communication protocols and rigorous testing strategies for their internal service layers.
What are the prerequisites for implementing these debugging frameworks?▼
Implementation requires familiarity with the Debug Adapter Protocol and the six-layer architecture including MCP, Service, Session, and Adapter components. Users must also adhere to the established code reuse policies, ensuring that existing constants and enums are utilized before introducing new logic into the codebase.