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Evaluating AI Agents: Evals for Reliable Production Systems

Evaluating AI agents requires repeatable evals for outcomes, tool calls, cost and safety before model or workflow changes reach production.

AISoftware QualityEngineering LeadershipSoftware Architecture

AI Agent Security: Runtime Boundaries Instead of Blind Trust

AI agent security requires sandboxing, least privilege and approval boundaries. How software teams keep autonomous workflows under control.

AICybersecuritySoftware ArchitectureGovernance

EUDI Wallet for Software Companies: Integration Beyond Login

The EUDI Wallet changes digital identity in Europe. What software teams should clarify around integration, privacy, and backend architecture.

ComplianceSoftware ArchitectureBackend DevelopmentPrivacy

Coding Agent Benchmarks: What SWE-bench Really Measures for Companies

Coding agent benchmarks such as SWE-bench support initial comparisons. Companies must also measure cost, review effort, and codebase fit.

AIDeveloper ToolsEngineering LeadershipSoftware Quality

Durable Execution for AI Agents: Reliable Workflows Instead of Endless Loops

Durable execution makes AI agent workflows resumable and auditable. What teams must clarify about state, retries, approvals and side effects.

AISoftware ArchitectureBackend DevelopmentSoftware Quality

LLM Evaluations for Product Teams: Measuring AI Feature Quality

LLM evaluations help product teams control quality, risk and cost of AI features before rollout and make model changes safer for users.

AISoftware QualityEngineering LeadershipGovernance