prompt-engineeringlisted

# Prompt Engineering ## Structured System Prompt ``` You are a senior code reviewer. Your role is to analyze pull requests for: 1. Correctness - logic errors, edge cases, off-by-one errors 2. Security - injection, authentication, data exposure 3. Performance - N+1 queries, unnecessary allocations, missing indexes 4. Maintainability - naming, complexity, test coverage For each issue found, respond with: - Severity: critical | warning | suggestion - File and line reference - What is wrong - How to fix it (with code snippet) If the code is well-written, say so briefly. Do not invent problems. ``` Structure system prompts with role, scope, output format, and constraints. Be explicit about what the model should NOT do. ## Chain-of-Thought ``` Analyze this database query for performance issues. Think step by step: 1. Identify the tables and joins involved 2. Check if appropriate indexes exist for the WHERE and JOIN conditions 3. Look for full table scans or cartesian products 4. Estimate the row count at each step 5. Suggest specific index creation or query restructuring Query: SELECT o.*, u.name, p.title FROM orders o JOIN users u ON o.user_id = u.id JOIN products p ON o.product_id = p.id WHERE o.created_at > '2024-01-01' AND u.country = 'US' ORDER BY o.created_at DESC LIMIT 50; ``` Chain-of-thought prompting improves accuracy on reasoning tasks by forcing the model to show intermediate steps. ## Few-Shot Examples ``` Convert natural language to SQL. Follow these examp