blumeops/docs/tutorials/ai-assistance-guide.md

title	modified	tags
AI Assistance Guide	2026-02-23	tutorials ai

AI Assistance Guide

Audiences: AI, Owner

This guide provides context for AI agents assisting with BlumeOps operations, and helps Erich understand how to work effectively with AI assistance.

Critical Rules

These are non-negotiable for AI agents working in this repo:

1. Always use --context=minikube-indri with kubectl - Work contexts exist that must never be touched
2. Run mise run ai-docs at session start - Review current infrastructure state
3. Never commit secrets - The repo is public at github.com/eblume/blumeops
4. Wait for user review before deploying - Create PRs, don't auto-deploy
5. Never merge PRs without explicit request - The user merges after review

Full rules are in the repo's AGENTS.md. See agent-change-process for the C0/C1/C2 change classification methodology — C0 (direct to main), C1 (feature branch + PR), C2 (Mikado Branch Invariant).

Workflow Conventions

Branching

Branching depends on change classification (see agent-change-process):

• C0 (Quick Fix): Commit directly to main — no branch or PR needed
• C1/C2: Feature branch required:

git checkout main && git pull
git checkout -b feature/descriptive-name
# ... make changes ...
git commit -m "Description"

Pull Requests

Use the forge's tea CLI:

tea pr create --title "Title" --description "$(cat <<'EOF'
## Summary
- Change 1
- Change 2

## Deployment and Testing
- [ ] Test step
EOF
)"

Changelog Fragments

Add a fragment for user-visible changes:

# C1/C2: use branch name
echo "Description" > docs/changelog.d/branch-name.feature.md

# C0: use orphan prefix (no branch to name after)
echo "Description" > docs/changelog.d/+descriptive-slug.feature.md

Types (file suffix): .feature, .bugfix, .infra, .doc, .ai, .misc

Wiki-Link Formatting

Use simple wiki-links without alternate text or extra spaces:

• Prefer [[borgmatic]] over [[borgmatic|Borgmatic]]
• Only use alternate text when grammatically warranted (e.g., [[cluster|Kubernetes]] reads better than [[cluster]])
• No spaces around the pipe: [[path|Text]] not [[ path|Text ]]

When editing documentation, rewrite links to follow this convention as you encounter them.

Service Locations

Understanding where services run helps target changes correctly:

Location	Services	Management
indri (native)	Forgejo, Zot, Jellyfin, Caddy	Ansible
[[cluster	Kubernetes]]	Everything else

Mise Tasks

BlumeOps operations are driven by mise tasks. Run mise tasks to list all available tasks.

Task	When to Use
ai-docs	At session start - all documentation concatenated for AI context (~85K tokens, see mise-tasks)
ai-sources	Deep context - all non-doc source files (~270K tokens). Ask user before running; useful for problems with a large surface area
docs-mikado	View active Mikado dependency chains for C2 changes
docs-mikado --resume	Resume a C2 chain: detect branch, show state and next steps
provision-indri	Deploy changes to indri-hosted services via Ansible
services-check	After deployments - verify all services are healthy
pr-comments	Check unresolved PR comments during review
container-list	View available container images and tags
container-build-and-release	Trigger container build workflows
dns-preview	Preview DNS changes before applying
dns-up	Apply DNS changes via Pulumi
tailnet-preview	Preview Tailscale ACL changes
tailnet-up	Apply Tailscale ACL changes via Pulumi
docs-check-links	Validate wiki-links resolve correctly (supports path-based links, orphan detection)
docs-review-stale	Report docs by last-modified date, highlight stale ones
docs-review-tags	Print frontmatter tag inventory across all docs
docs-review	Review the most stale doc by last-reviewed date
runner-logs	View Forgejo workflow logs (indri or ringtail runner)

For task discovery, BlumeOps tasks live in hephaestus (heph), not Todoist. List outstanding work with heph list --project Blumeops --json.

For ArgoCD operations, use the argocd CLI directly:

• argocd app diff <service> - Preview changes
• argocd app sync <service> - Deploy changes

Reference Navigation

For AI agents building context:

• Reference - Entry point for technical details
• hosts - What hardware exists
• apps - What's deployed in Kubernetes
• routing - How services are exposed

Credential Access

Credentials live in 1Password. Never retrieve them directly - use existing patterns:

• Ansible pre_tasks gather secrets at playbook start
• external-secrets syncs to Kubernetes
• Scripts use op CLI with user biometric prompts

Common Pitfalls

Pitfall	Correct Approach
Missing kubectl context	Always add --context=minikube-indri
Deploying without review	Create PR first, wait for user approval
Re-explaining reference material	Link to reference cards instead
Committing to main without classifying	Classify as C0/C1/C2 first — only C0 goes to main
Guessing at credentials	Ask user or check 1Password patterns