A good AI coding assistant pilot lasts about thirty days, includes ten to twenty developers across different codebases, has written success and stop criteria, and measures security signals alongside productivity. The goal is evidence for a rollout decision, not enthusiasm in either direction.
Week zero: set the rules
Pick pilot users from different teams and skill levels. Choose repositories that are in scope and mark any that are not, such as those with regulated data or secrets. Turn on the strictest admin settings the product offers and relax them only with a reason. Write down stop criteria in advance, for example any confirmed secret exposure or any unreviewed agent action that changes production. Tell participants what is logged.
Weeks one and two: observe
Developers work normally. Security collects three kinds of evidence: configuration (what was enabled), logs (usage and agent actions) and samples (a reviewed set of pull requests that include assistant generated code). Look at dependency changes in particular. Assistants sometimes suggest outdated or unfamiliar packages, so compare added dependencies against your normal review process.
Weeks three and four: test and decide
Run a few deliberate tests: a repository file with instructions aimed at the assistant, a request that would require a secret, an agent task near a sensitive directory. Hold a short retrospective with participants. Ask what they stopped doing manually and what annoyed them. Then score: security findings, review burden, developer feedback and admin effort.
Decision options
There are three honest outcomes. Roll out with the current settings, roll out with tighter controls, or extend the pilot with a narrower question. Writing the options down on day one prevents the common failure where a pilot ends and nobody decides. Keep the evidence folder, because auditors and customers may ask for it later.
Do not forget the human side. Developers who feel watched will behave differently, so be open about what is logged and why. Offer a simple channel for reporting odd behavior, and respond fast. Some valuable findings in pilots come from a developer saying that something looked strange. Close the loop with each report so people see that it matters, and the second half of the pilot will produce better evidence than the first.
Where Safeguard fits
Safeguard offers SBOM and dependency scanning plus policy gates that can check pull requests, which helps review the dependencies an assistant adds during a pilot.
Quick check
How many developers should join the pilot?
Ten to twenty is usually enough to see patterns without making the review impossible.
Last reviewed: 19 October 2026.
