dev
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
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Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
Comprehensive Linux development environment management for compilers, build tools, IDEs, and debugging workflows.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.
Transform technical documentation into a growth engine. Learn to write docs that improve SEO, reduce time-to-value, and convert developers by mastering information architecture and developer-focused writing.
Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.
Guided, systematic feature development agent that orchestrates codebase exploration, architectural design, implementation, and automated testing.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Official Sunhat toolkit for end-to-end TRON smart contract lifecycle: development, compilation, cross-framework testing, and deployment.
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).
Generate high-converting, professional README.md files for open source projects and CLI tools using a value-driven, scannable framework.
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.