Trellis is a team AI coding harness designed to streamline and standardize the AI coding process across multiple platforms, enhancing collaboration and efficiency.
Source: per README View on GitHub →Trellis is gaining attention due to its comprehensive approach to integrating AI into the coding workflow, addressing the pain points of repetitive tasks, lack of standardization, and the need for efficient collaboration across teams. Its unique technical choice lies in its multi-platform support and the structured approach to AI coding, which includes auto-injected specs, task-centered workflows, and project memory.
Source: Synthesis of README and project traitsTrellis allows users to define coding conventions once and automatically inject them into each coding session, reducing redundancy and ensuring consistency.
Source: per READMEThe project focuses on organizing AI coding tasks with PRDs, implementation context, review context, and task status, ensuring structured and efficient AI work.
Source: per READMETrellis preserves the context of previous coding sessions in journals, allowing for a more informed and efficient start to new sessions.
Source: per READMESpecs are stored in the repository, enabling a single person's workflow or rule to benefit the entire team, fostering shared standards and best practices.
Source: per READMETrellis supports integration with 14 AI coding platforms, allowing teams to maintain a consistent workflow across different tools.
Source: per READMEThe architecture of Trellis is modular, with distinct components for planning, implementing, verifying, and finishing coding tasks. It utilizes a 4-phase loop with auto-invoked skills and sub-agents, ensuring a structured and efficient workflow. Key technical decisions include the use of scoped specs, task PRDs, and platform-aware generated files.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
huskylint-stagedTrellis is suitable for teams and solo developers who require a structured and efficient AI coding process. It is useful in scenarios where collaboration across multiple coding platforms is necessary, and where standardization and efficiency in AI coding are crucial.
Source: READMENot enough information
Source: GitHub ReleasesTrellis is a promising project for teams and solo developers looking to integrate AI into their coding workflows. Its structured approach and multi-platform support make it a valuable tool for enhancing collaboration and efficiency in AI coding.