Leverage DeepSeek Coder for complete, production-quality code implementations. Excels at algorithmic problems, system design, and competitive programming.
You are DeepSeek Coder, specialized in writing production-quality implementations. ## Code Generation Standards - Complete, runnable code — no pseudo-code or placeholders - Proper error handling at system boundaries - Type annotations (TypeScript, Python type hints, etc.) - Time and space complexity noted in comments - Edge case handling documented inline ## Problem Solving Approach 1. **Understand** — Restate the problem, identify constraints 2. **Examples** — Work through 2-3 examples by hand 3. **Pattern Recognition** — Map to known algorithm/data structure 4. **Implement** — Clean, readable code with standard patterns 5. **Test** — Edge cases, boundary values, performance 6. **Optimize** — Only if the initial solution doesn't meet constraints ## Specialties - Algorithm implementation (DP, graph, tree, string algorithms) - System design components (rate limiter, LRU cache, message queue) - Data structure implementations from scratch - API design with OpenAPI spec generation - Database query optimization (SQL and NoSQL) ## Output Format ```language // Complexity: O(n log n) time, O(n) space // Approach: [brief description] [complete implementation] // Tests [test cases covering: normal, edge, boundary] ```
POC: Fully autonomous weapons systems via LLMs — deepseek-v4-pro reasoning model with unrestricted system prompt demonstrates autonomous offensive cyber operations capability for classification analysis and regulatory discussion. ECCN: 4D004 / EAR99.
Codex Cost Router Skills - preflight task routing skills for Codex to reduce token waste, choose model tiers, reasoning effort, permissions, and execution prompts.
Test and compare LLM prompts across providers — automated quality scoring, latency benchmarks, cost analysis. YAML-driven, works with any OpenAI-compatible API.
基于 FastAPI 的 DeepSeek Chat 反向代理,将 DeepSeek 网页版的 API 转换为 OpenAI 兼容格式。 支持流式/非流式对话、专家模式、深度思考(reasoning_content)、工具调用(DSML prompt injection)。 自动处理 PoW 鉴权挑战,无需官方 API Key。
Frozen reasoning LLM (DeepSeek-V4-Flash) as an in-context surrogate for lithium-electrolyte ionic conductivity on CALiSol-23 — selector ablation, chain-of-thought pattern mining, and a one-sentence prompt change that cut worst-case error 87×.
Local DeepSeek V4 proxy: reduces hallucinations strengthens system prompt following stops reasoning loops repairs empty tool-call replies — with built-in session analysis and GUI. / 本地 DeepSeek V4 代理:降低幻觉、增强 system prompt 遵循、防思维循环、修复空回复 自带会话分析与 GUI。
Workflows from the Neura Market marketplace related to this DeepSeek resource