16x Prompt vs. CodeNext vs. PromptKnit vs. python-sql Comparison Chart

Manage source code context and generate optimized prompts. Ship with ChatGPT and Claude. 16x Prompt helps developers manage source code context and prompts to complete complex coding tasks on existing codebases. Enter your own API key to use APIs from OpenAI, Anthropic, Azure OpenAI, OpenRouter, or 3rd party services that offer OpenAI API compatibility, such as Ollama and OxyAPI. Using API avoids leaking your code to OpenAI or Anthropic training data. Compare the code output of different LLM models (for example, GPT-4o & Claude 3.5 Sonnet) side-by-side to see which one is the best for your use case. Craft and save your best prompts as task instructions or custom instructions to use across different tech stacks like Next.js, Python, and SQL. Fine-tune your prompt with various optimization settings to get the best results. Organize your source code context using workspaces to manage multiple repositories and projects in one place and switch between them easily.

Professional prompt editors with GPT-4o, Claude 3 Opus, Gemini-1.5, and more models, function call simulation and more. Setup projects for different use cases with project members and settings. Different access control levels for each member, share and collaborate on prompts together. Multiple image inputs in each user message and individual detail parameter control. Easy to manipulate each message, function call schema editor and simulation of function call returns. Inline variables in your prompt, run and compare results with different variable groups simoutaniously. All sensitive data is encrypted using RSA-OAEP and AES-256-GCM in both transmission and storage. You never lose any edits on Knit, all edit history is saved and can be restored. Knit supports different kinds of models, including OpenAI, Claude, Azure OpenAI. And we are planning for supporting more. Nearly all API parameters can be set in the prompt editors. Find the best parameters for your prompts.