DeepSeek V4 drops on February 17. That's four days from now. The developer community has been talking about this launch for weeks because the previous version proved something important. You can get coding help that matches expensive tools without paying for them.

Version 4 promises better multi-file reasoning. Longer context windows. More consistent handling of complex codebases. Those are meaningful improvements if they actually work the way the specs suggest.

I built a benchmark pack with ten specific prompts designed to test exactly these capabilities. Each one targets a different aspect of what makes a coding assistant actually useful versus just impressive in demos.

Repository architecture audit runs first. It analyzes your entire codebase and returns an architecture quality score, test coverage gaps, performance bottlenecks, and security vulnerabilities. The output includes a thirty-day improvement roadmap with specific priorities.

Multi-file bug hunt solves the hardest debugging problems. When issues span three or more files and you can't figure out why something breaks intermittently, this prompt traces the entire call stack and provides corrected code with regression tests.

Feature skeleton generator builds complete component structures from descriptions. You describe what you want to build and get back full code scaffolds with state management, API integration points, database schemas, and testing strategies.

High-stakes communications need precision. Wispr Flow turns speech into polished, publishable writing you can paste into investor updates, earnings notes, board recaps, and executive summaries. Speak constraints, numbers, and context and Flow will remove filler, fix punctuation, format lists, and preserve tone so your messages are clear and confident. Use saved templates for recurring financial formats and create consistent reports with less editing. Works across Mac, Windows, and iPhone. Try Wispr Flow for finance.

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The difference is specificity. Each prompt includes exact output formats, scoring systems, and structured analysis frameworks. You're not asking vague questions. You're running systematic audits that return comparable results every time.

Performance optimization doesn't just suggest improvements. It provides before and after metrics. Current load times. Expected improvements ranked by impact. Implementation priorities. You know exactly what will make your code faster before you write a single line.

Test generation creates complete test suites with unit tests, integration tests, edge cases, performance tests, and security tests. The output includes coverage reports and test documentation. You go from zero tests to full coverage in minutes instead of hours.

Security scanning maps vulnerabilities to OWASP standards with severity ratings and specific fixes. It catches SQL injection, missing authentication, exposed credentials, and rate limiting gaps. Each finding includes the vulnerable code and the secure replacement.

Migration guides handle infrastructure changes. Moving databases, upgrading frameworks, changing authentication systems. Each guide includes pre-migration checklists, step-by-step instructions, rollback procedures, and post-migration verification.

API design reviews evaluate resource naming, HTTP methods, status codes, error handling, versioning, and rate limiting. The output includes specific improvements and refactored specifications following current best practices.

State management fixes solve React and JavaScript state issues. Stale closures, direct mutations, race conditions, memory leaks. Each problem gets explained with corrected code and state flow diagrams.

Database optimization improves schemas for scale. Indexing strategies, query optimization, normalization reviews, and performance analysis. Shows before and after query times with specific recommendations.

The Notion template includes all ten prompts with complete setup instructions, real code examples in JavaScript and SQL, expected outputs for each prompt, integration guides for popular editors, performance metrics, and troubleshooting documentation.

Two advanced workflows show how to chain prompts together. Complete code audit in thirty minutes. New feature development in one hour. Each workflow explains which prompts to run and in what order.

Short break before the prompt pack template!

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The template is ready now. Copy it. Customize the prompts for your projects. Start with the architecture audit to understand what needs attention. Then use the other nine prompts as problems come up. Get the pack below 👇

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