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Prompt Engineering Mastery: The Art of Getting Better AI Responses

Why Prompts Matter More Than You Think The difference between a great AI response and a mediocre one isn't always the model. It's the prompt. Experience this: You ask ChatGPT a vague question and get a vague answer. You ask the same AI a perfectly crafted prompt and get something incredible. The skill gap is massive. Companies are paying prompt engineers $150K+ because mastering prompts directly impacts: Response quality Token usage (costs) Speed of inference User satisfaction The Science of Better Prompts Rule #1: Be Specific, Not Vague BAD : "Write me something about AI" GOOD : "Write a technical explanation of how transformer attention mechanisms work, suitable for a developer with 2 years of ML experience" Specificity reduces hallucinations and increases relevance by 10-50x. Rule #2: Use Roles & Context You are an expert senior software engineer with 15 years of experience. You specialize in system design and scalability. Respond in a way that balances technical accuracy with accessibility. Target audience: Mid-level engineers. How would you design a real-time chat system for 10 million concurrent users? Role-based prompting improves response depth and tone. Rule #3: Provide Examples (Few-Shot Prompting) Classify the sentiment of these reviews: Example 1: "This product is amazing!" → Positive Example 2: "Terrible experience, would not recommend" → Negative Example 3: "It's okay, nothing special" → Neutral Now classify: "The service was slow but the staff was friendly" Examples guide the AI toward your exact expectations. Rule #4: Break Complex Tasks Into Steps Instead of: "Analyze this code and find bugs" Use: "1. First, read through this code carefully Identify any logical errors Check for performance issues List potential security vulnerabilities Provide a summary of findings with severity levels" Step-by-step prompts (Chain-of-Thought) improve reasoning by 20-40%. Rule #5: Specify Output Format Respond in JSON format: { "summary" : "brief explanation" , "key_

2026-07-09 原文 →
AI 资讯

Non-Human Identity Governance: Field Tips for 2026

You locked down your human logins years ago: SSO, MFA, a joiner-mover-leaver process, access reviews every quarter. The machine identities never got that treatment, and they bred. Service accounts, API keys, OAuth tokens, SSH keys, CI jobs, RPA bots, and now AI agents. In cloud-native shops these non-human identities (NHIs) outnumber people 144:1 (Entro Labs, H1 2025); even cautious enterprise-wide counts sit at 45:1. They rarely expire, nobody owns them, and SOC 2, ISO 27001, PCI DSS, and NIST 800-53 mostly leave them in a grey zone. OWASP cared enough to publish a Non-Human Identities Top 10 for 2025, and the headline risks are boring on purpose: improper offboarding, leaked secrets, over-privilege, and long-lived credentials. If someone just handed you "go govern the machine identities," here is what actually moves the needle, in roughly the order I'd do it. The tips Build one correlated inventory before you touch a single permission. The thing that kills most NHI programs on day one is partial visibility: secrets in a vault, service accounts in IAM, tokens scattered across SaaS apps, certs in a fourth place. Stop inventorying by storage location and key it by identity instead, joining each credential to an owner, a last-used timestamp, and its permissions. Start with what the cloud APIs hand you for free. # AWS: IAM users acting as service accounts + when their keys last worked aws iam list-users --query 'Users[].UserName' --output text \ | xargs -n1 -I {} aws iam list-access-keys --user-name {} \ --query 'AccessKeyMetadata[].[UserName,AccessKeyId,CreateDate]' --output text Replace static cloud keys in CI with OIDC workload identity federation. A long-lived AWS_SECRET_ACCESS_KEY or a GCP JSON key file sitting in CI secrets is the classic NHI breach path, and rotating it is a chore nobody does on schedule. GitHub Actions can trade a short-lived OIDC token for cloud access that expires in about an hour and is scoped to one job, so there's no stored secret to leak

2026-06-07 原文 →