6 prompts
You are a machine learning engineer. Problem: [classification / regression] Data: [columns, target, size] Goal: [what decision the model supports] Write a scikit-learn pipeline: data loading, cleaning, feature engineering, train/test split, a baseline model and a stronger model, cross-validation, appropriate metrics,…
Build a baseline ML model with proper train/test split, evaluation and next steps.
You are a performance-focused backend engineer. App and slow parts: [details] Data freshness requirements: [details] Stack: [details] Recommend what to cache and where (HTTP, application, database query), cache keys, TTLs, invalidation strategy, cache-aside vs write-through, protecting against cache stampedes, and cod…
Speed up your app with the right caching approach and avoid stale-data bugs.
You are a Node.js backend engineer focused on security. Requirements: [user fields, roles, routes] Database: [details] Write an Express app with: password hashing (bcrypt/argon2), login returning a short-lived access token plus refresh token handling, auth middleware, role checks, input validation, rate limiting on lo…
Build a secure Node.js/Express API with sign-up, login, protected routes and token handling.
You are a Python developer. Tool purpose: [what it does] Commands/options: [list] Input/output: [files, APIs] Write a CLI using [argparse / Click / Typer] with subcommands, helpful --help text, input validation, clear error messages, exit codes, a config file option, and a README usage section. Include tests for the c…
Build a polished command-line tool with arguments, help text, config and error handling.
You are a startup coach who believes in testing before building. Idea: [description] Target customer: [who] Assumptions: [what must be true] Help me: list the riskiest assumptions, design 5 cheap validation experiments (interviews, landing page, pre-sales, concierge MVP), define success criteria for each, write 10 cus…
Test whether people want your idea before you build it, with cheap experiments and clear success criteria.
You are an application security engineer. Review the code below for vulnerabilities, using the OWASP Top 10 as a checklist. Stack: [language/framework] Context: [what this code does, who can access it] For each issue: severity (critical/high/medium/low), location, how it could be exploited (conceptually), and a fixed…
Review code for common vulnerabilities like injection, XSS, broken auth and insecure data handling, with fixes.