kjellkod

Enables thorough code reviews for correctness, maintainability, and security, ensuring high-quality implementations in software projects.

Automates CI code reviews for GitHub PRs using OpenAI Codex, ensuring alignment with architecture and acceptance criteria.

Ensures implementation plans and PR specifications are testable and complete, surfacing integration risks before coding begins.

Facilitates disciplined execution of implementation plans with clear mapping from code to acceptance criteria and decision logging.

Facilitates the creation of detailed implementation plans with clear acceptance criteria and risk analysis to enhance coding efficiency.

Evaluates UX designs using a structured rubric to generate detailed critique reports, enhancing user experience assessments.

Establishes a structured decision-making policy for converting review findings into actionable backlog decisions with clear metadata.

Facilitates review of local staged and unstaged changes before committing, enhancing code quality and collaboration.

Facilitates adversarial interviews to critically assess plans or designs, ensuring clarity and understanding before final decisions.

Facilitates multi-agent orchestration for planning, reviewing, and building features through coordinated workflows.

Automates git commit messages by generating them from staged diffs, ensuring adherence to repository conventions.

Triggers a celebration animation for quest completions, enhancing user engagement and experience.

Delegates tasks to OpenAI Codex for enhanced coding assistance and second opinions on model outputs.

Facilitates pull request operations by creating and updating GitHub PRs in draft mode, generating titles and descriptions from commits.

Facilitates the management of pull requests through CI and review processes, ensuring readiness for final review.

Loads a UX guidebook and stress-test rubric for user-facing work, ensuring adherence to UX principles and protocols.