Security and Compliance in AI Agent Development
Code injection risks, data leakage, GDPR and EU AI Act compliance, sandbox execution, and audit trails for teams developing with AI agents.
Code injection risks, data leakage, GDPR and EU AI Act compliance, sandbox execution, and audit trails for teams developing with AI agents.
How to design system prompts, manage context, apply chain-of-thought and few-shot examples to maximize the effectiveness of AI agents in software development.
How AI agents optimize CI/CD pipelines, automate incident response, manage infrastructure, and improve deployment strategies for modern development teams.
How AI agents are transforming QA with automatic test generation, visual regression detection, flaky test elimination, and autonomous exploratory testing.
Exhaustive checklist for evaluating AI vendors: technical, commercial, security, and operational criteria with a scoring framework for informed decision-making.
Practical guide to implementing AI in customer service: automation levels, real ROI metrics, mistakes to avoid, and criteria for deciding what to automate.