Safer automation
Scripts and pipelines get dry-run modes, guardrails, and validation before they're trusted with anything that matters.
/trust
Trust is architecture, not a checkbox.
If you're considering collaborating, hiring, or handing me the keys to something that matters, here's how I treat that responsibility. This isn't a policy document — it's the working set of principles behind how I build, automate, and use AI without losing the plot on security.
Principles
The defaults I build from
These aren't ideals I reach for on good days — they're the starting position for any system I touch.
- 01
Least privilege by default
Access starts at zero and grows only as far as a task actually needs. Every grant is scoped, justified, and easy to take back.
- 02
Secrets stay out of prompts, repos, and logs
Keys, tokens, and credentials live in dedicated secret stores — never pasted into AI prompts, committed to git, or printed into log output.
- 03
Automation has dry-runs and clear blast-radius limits
Anything that changes real systems can be previewed first, and its reach is bounded on purpose — so a mistake stays small and recoverable.
- 04
AI assists, but humans own judgment and review
AI tools accelerate the work; a person still reviews every meaningful change. The model proposes — a human understands it, decides, and signs off.
- 05
Logs explain what happened without leaking
Good logs make it clear what ran and why, while keeping secrets and sensitive data out of the record. Auditability and privacy aren't a trade-off.
- 06
Production access is intentional, scoped, and reversible
Touching production is a deliberate, bounded act with a way back — not an everyday default. Changes go through paths that are reviewed and hard to fat-finger.
In practice
How this shows up in my work
Principles are easy to write down. Here's where they actually leave a mark on the day-to-day.
Docker-first dev workflows
Work runs inside hardened, reproducible containers — so the environment stays isolated, consistent, and doesn't reach further than it should.
Reviewable AI slices
AI-assisted changes land in small, vertical pieces a human can actually read and reason about — not giant, unreviewable diffs.
Security-aware architecture
Trust boundaries, secrets handling, and least privilege are part of the design from the start, not bolted on after something breaks.
Documentation as part of delivery
How a system works, what it can touch, and how to operate it safely is written down — so trust doesn't depend on one person's memory.
Let's talk
Want to talk through a system?
If you've got something where trust, access, or automation actually matters, I'm happy to think it through with you — boundaries, blast radius, and all. The messy version of the problem is fine.