Safe AI software development
The mental model
Treat an AI coding agent the way you would treat an inexperienced contractor who has shell access to your laptop. The contractor is useful, fast, and occasionally dangerous. Safety comes from explicit gates, not from trust.
The minimum practices
- Trust projects explicitly.
- Mask secrets at read.
- Allowlist shell execution.
- Guard destructive commands.
- Approve flagged actions.
- Make validation gates non-negotiable.
- Snapshot every chat send.
What this does not give you
Safe AI software development is not the same as a security audit. It does not replace a sandbox, an EDR, an SBOM scanner, or a dependency CVE checker. The aim is to make the agent's behavior predictable and reversible, not to harden the machine against external attackers.
Frequently asked
- Does DevAware OS make an AI agent completely safe?
- No. It makes the agent's behavior more predictable and reversible through scoped trust, secret masking, an allowlist, an approval gate, validation gates, and checkpoints. It is not a sandbox, an EDR, or a vulnerability scanner, and does not harden the machine against external attackers.
- Can I open any repository safely?
- Repositories are untrusted by default; you grant trust explicitly per project. That scopes what runs, but it is not a guarantee against malicious code. Treat an unfamiliar repository the way you would treat untrusted input.
- Does it scan dependencies for vulnerabilities?
- No. DevAware OS does not scan dependencies, detect malware, or replace security tooling. Use your own scanner, SBOM, or CVE checker alongside it.