2. DevOps & Infrastructure

Automates Hongdown project releases with version bumping, CHANGES.md updates, Git tagging, and branch management.

Enables running and managing interactive CLI tools (vim, Python REPL) via tmux with detached sessions and real-time input control.

Enables on-demand discovery and access to MCP servers via CLI, eliminating pre-integration overhead in developer workflows.

Provides a safe interface to list and execute public toolbox scripts via tool-runner.js, managing environment variables and droid exec context.

Architects and maintains cloud infrastructure using IaC, CI/CD, and SRE best practices for scalable, reliable systems.

Manages Terraform state operations including resource import, move, and removal to refactor state, fix drift, and migrate backends without destruction.

Provides expert guidance for creating, managing, and using Terraform modules to standardize infrastructure as code across cloud platforms.

Generates structured Terraform module templates to streamline infrastructure-as-code development and ensure consistency.

Enables seamless migration of GCP project resources including databases, storage, container images, and Terraform configurations between environments.

Ensures correct CLI syntax for GitLab operations using glab, enabling seamless management of merge requests, pipelines, and issues.

Diagnoses and resolves CI/CD pipeline failures, including build, test, and deployment issues.

Automates build verification, error recovery, and review fix application in CI/CD pipelines for test failures and lint errors.

Configures deployment pipelines, analytics, and health monitoring for web projects using Vercel and Netlify platforms.

Automates the cycle of fixing PR issues and pushing changes until CI checks pass, eliminating manual iteration steps.

Monitors production application health, tracking errors, uptime, and metrics to proactively identify issues before user impact.

Automates software release process: version bumping, changelog generation, commit grouping, tagging, and GitHub CI tracking.

Conducts load, stress, and scalability tests to evaluate application performance and optimize system resilience under varying workloads.

Integrates testing early in the development lifecycle to improve quality and reduce costs, leveraging TDD and CI/CD pipelines.

Validates system resilience via controlled failure injection in distributed environments, ensuring fault tolerance and recovery capabilities.

Manages test environments through infrastructure as code, Docker, and Kubernetes, ensuring parity and optimizing costs.

Designs test automation strategies with test pyramid, patterns, and CI/CD integration to enhance framework efficiency and coverage.

Enables production testing via feature flags, canary deployments, synthetic monitoring, and chaos engineering for improved observability and progressive delivery.

Orchestrates quality engineering across CI/CD pipeline phases, enabling test strategy design, quality gates, and shift-left testing implementation.

Performs chaos engineering and resilience testing through fault injection, load testing, and system recovery validation to ensure infrastructure robustness.