/uses

// Hardware

• Main workstation Linux desktop — AMD Ryzen processor, 32 GB RAM, NVMe SSD
• Laptop Corporate notebook for mobility and hybrid meetings
• Monitor 27" IPS QHD monitor — prioritizing code readability and dashboard clarity
• Peripherals Mechanical keyboard with linear switches, ergonomic mouse, noise-cancelling headset

// OS & terminal

• OS Ubuntu LTS — stability for infrastructure environments; WSL2 on corporate laptop
• Shell Bash with extensive aliases and functions for pipeline automation and cloud CLI workflows
• Terminal Default terminal + tmux for persistent sessions and simultaneous log panels
• Prompt Starship — shows git branch, active Kubernetes context and command duration

// Editor & IDE

• Main editor Visual Studio Code — extensions for Terraform HCL, Docker, Kubernetes, Python and YAML
• AI agent Claude Code CLI (Anthropic) — pair programming, refactoring and IaC generation
• Quick edits Vim / Nano for direct edits on remote servers over SSH
• Theme Deep dark mode with JetBrains Mono — zero visual fatigue in long sessions

// Cloud & DevOps

• → Terraform for reproducible IaC across AWS and Azure — versioned modules, remote state on S3 + DynamoDB.
• → GitHub Actions as the primary CI/CD platform — reusable workflows with environment-based approvals.
• → Prometheus + Grafana for observability — SLI/SLO dashboards and Alertmanager-driven alerting.

// AI & productivity

• Primary LLM Claude (Anthropic) — technical reasoning, IaC review, runbook and documentation generation
• AI CLI Claude Code and Gemini CLI — terminal copilots integrated into the infrastructure workflow
• Task management GitHub Issues + Projects for personal backlog and sprint tracking
• Notes & docs Markdown + Git — all technical documentation version-controlled in the project repo
• Communication Slack for distributed teams; Microsoft Teams in corporate environments