3 articles
AI agents need context to work well. Agentic knowledge bases provide this by giving them access to internal data, rules, and procedures. Six patterns show how companies use them for coding, integrations, and business workflows, leading to major efficiency gains.
LLMs generate SQL queries that often run successfully but are semantically wrong, leading to dangerous data errors. Providing context via tools like MCP, AGENTS.md, or Agent Skills helps reduce these silent failures.
Generative AI tools produce predictable and weak passwords, easily guessable despite appearing complex. Their common patterns make them vulnerable to brute-force attacks in hours. Avoid using LLMs for password generation.