FancyWhale
FancyWhale
If AI-generated changes increased defects, security concerns, or maintenance overhead, we audit and remediate code and infrastructure so your team can ship with confidence again.
Hotspot review of generated code, dependency risks, maintainability issues, and hidden failure points.
Prioritized fixes for correctness, security, and reliability with practical pull-request level changes.
Review and correction of risky configuration patterns, access controls, and cost-impacting defaults.
Prompting standards, review checklists, and team practices to reduce recurring technical debt.
We gather context, identify high-risk systems, and align on immediate remediation priorities.
We review generated code and infrastructure for defects, drift, and security exposure.
We apply focused fixes with reviewable changes, tests, and clear acceptance criteria.
We implement generation and review standards to reduce future rework and quality regressions.
We document patterns to avoid and train your team on sustainable AI-assisted workflows.
Teams commonly report fewer repeated incidents once core generated-code issues are addressed.
Risky defaults and unreviewed patterns are replaced with policies and repeatable review steps.
Clear guardrails improve consistency and reduce time spent reworking low-quality generated output.
Book a 30-minute call and get a first-pass remediation plan for your highest-risk areas.