
33 results

Automated code reviewer that identifies bugs, security issues, and code quality problems.

Designs structured evaluation strategies for AI phases, ensuring robust assessment and monitoring.

Verifies phase goal achievement through goal-backward analysis, ensuring codebase aligns with promised outcomes.

Automates the research of AI frameworks to deliver implementation-ready guidance and best practices.

Automates code fixes based on review findings, ensuring intelligent and atomic updates.

Researches gray area decisions and provides structured comparison tables.

Generates UI-SPEC.md design contracts for frontend phases based on upstream artifacts.

Classifies planning documents into categories like ADR, PRD, SPEC, or DOC, ensuring accurate extraction of information.

Analyzes codebases to extract structured assumptions for specific phases.

Analyzes codebases and generates structured documentation for various focus areas.

Manages multi-cycle debugging sessions, ensuring efficient checkpoint handling and agent spawning.

Automate bug investigation using a scientific approach and manage debug sessions effectively.

Consolidates classified planning documents into a unified context while managing conflicts.

Automates the writing and updating of project documentation based on specific assignments.

Researches business domain context for AI systems, identifying evaluation criteria and failure modes.

Conducts a retroactive audit of AI evaluation coverage against planned strategies.

Executes GSD plans with atomic commits and deviation handling.

Interactive decision matrix for selecting the right AI/LLM framework based on user needs.

Analyzes codebases and generates structured intelligence files for project insights.

Verifies cross-phase integration and end-to-end workflows in applications.

Generates tests to fill Nyquist validation gaps and verifies coverage for phase requirements.

Audits code against threat mitigations in PLAN.md, producing a detailed SECURITY.md report.

Validates UI-SPEC.md design contracts against quality dimensions to ensure design integrity.

Analyzes codebase patterns and generates a mapping file for new files.

Verifies phase plans will achieve their goals before execution through goal-backward analysis.

Researches pre-planning phases and produces structured documentation for planners.

Creates executable phase plans with task breakdown and dependency analysis.

Creates detailed project roadmaps by mapping requirements to phases with clear success criteria.

Conducts a thorough visual audit of frontend code against design standards, producing actionable insights.

A powerful collection of tools for efficient AI-driven development and context management.

Analyzes developer session messages to create a detailed behavioral profile across 8 dimensions.