Coding & Dev Tools

Launches four parallel adversarial review agents covering security, scope, fidelity, and test gaps, then synthesizes findings into a ranked verdict for plans or feature branches.

Generates a CONTEXT.md routing file for a specified project subdirectory, following the canonical anatomy and ensuring it meets size and content constraints.

Simulates a NeurIPS/SC/ICSE-style peer review with five reviewer personas (HPC, ML, Stats, Reproducibility, Devil's Advocate) that verify every claim against actual result data before submission.

Reviews CUDA, OpenMP, and OpenCL code for parallel correctness, covering data races, memory model violations, synchronization bugs, numerical precision issues, and API-specific pitfalls.

Reference guide for evaluating LLM-generated translations between CUDA and OpenMP, covering memory model mapping, kernel launch patterns, shared memory, atomics, and common failure modes.

Iteratively improves a compiled LaTeX paper through two rounds of external LLM review, fix implementation, and recompilation.

Guides test-driven development with a red-green-refactor loop, emphasizing behavior-focused tests and vertical slicing over horizontal test writing.

Runs a disciplined debugging loop for hard bugs and performance regressions, covering reproduction, hypothesis testing, instrumentation, fixing, and regression testing.

Loads an implementation plan, reviews it critically, executes each task with verification, and reports completion, stopping to ask for help when blocked.

Scopes code-review blast radius and detects architectural hotspots using Tree-sitter AST analysis and GraphRAG, with an MCP server for graph-based analysis.

Creates isolated git worktrees with smart directory selection and safety verification for feature work.

Dispatch a code-reviewer subagent to catch issues before they cascade, with guidance on when to request review and how to act on feedback.

Guides implementing features and bug fixes test-first, enforcing the red-green-refactor cycle with mandatory failure verification.

Executes implementation plans by dispatching a fresh subagent per task and running two-stage reviews for spec compliance and code quality.

Guides completing development work by verifying tests, presenting structured options for merging, creating a pull request, keeping, or discarding a branch, and cleaning up worktrees.

Enforces running verification commands and confirming output before claiming work is complete, fixed, or passing, ensuring evidence precedes any success claims.

Writes Behavior-Driven Development scenarios using Gherkin syntax to create executable specifications and test behavior.

Designs bounded contexts, creates domain models, uses aggregates, and implements value objects for complex domain logic.

Develops native Android apps with Kotlin and Java, covering UI, performance, and Play Store deployment.

Implements multi-level caching with strategies for invalidation, stampede prevention, and performance monitoring.

Implements finite automata, regular expressions, parsers, and lexers for building text processors and pattern matchers.

Debug application issues with techniques for Python, JavaScript, performance profiling, production incidents, and network problems.

Design clean REST APIs with proper resource modeling, HTTP methods, pagination, versioning, and OpenAPI documentation.

Improves code readability and maintainability by applying SOLID principles, meaningful naming, small functions, proper error handling, and DRY practices.

Designs API gateway architecture and implements routing, authentication, rate limiting, transformation, caching, logging, and circuit breaking.

Designs application architecture, selects patterns, structures code modules, and manages dependencies for new projects.

Automates multi-language software builds with Makefiles, dependency management, testing, packaging, and CI/CD integration.

Provides code review best practices, checklists, and example feedback for quality, security, performance, and maintainability.

Provides design patterns and architectural approaches for implementing and integrating browser APIs in software projects.

Measures code quality, identifies code smells, and implements quality gates using static analysis and technical debt tracking.

Runs Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.

Identifies common software anti-patterns in code and suggests refactoring solutions to improve code quality.

Explains MariaDB-specific SHOW statement syntax, including replication terminology, filtering rules, and diagnostic commands like SHOW EXPLAIN and SHOW ANALYZE.

Documents MariaDB-specific GRANT behavior, including privilege scope levels, implicit account creation, MariaDB-only privileges, roles, proxy grants, resource limits, and TLS options, to help write accurate GRANT statements.

Covers MariaDB-specific DELETE syntax and behavior, including RETURNING, multi-table forms, temporal-table deletion, and DELETE vs TRUNCATE differences.

Documents MariaDB-specific INSERT syntax and behavior, including RETURNING, ON DUPLICATE KEY UPDATE, INSERT IGNORE, and various forms and modifiers, to help write and review INSERT statements.