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Code explanations
There are 20 AI tools and 11 GPTs for Code explanations.
Get alerts
Number of tools
20
Most popular
Spellbox
Spellbox▼ State of the art
Free mode
100% free
Freemium
Free Trial
Top featured
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Notis is the AI intern one message away from your entire tool stack. Dictate ideas, delegate the busywork, and watch it update everything from your CRM to your Socials — right from WhatsApp, iMessage, Telegram or emails. In this week's release: - New white/dark theme in the portal. - Search and manage memories created by Notis. - Manually import new memories in the portal.
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Build smarter AI voice agents with the best speech recognition technologyOpen -
No Code AI Dashboard to create customized chatbots, ai tools, and moreOpen
Leonie🛠️ 1 tool 🙏 5 karmaNov 20, 2025@EasyAI Custom Chatbots + APIsThis tool removes all of the prep work of getting an LLM API endpoint running. I can try out ideas quickly and see within minutes whether an endpoint concept actually works. And when it does, moving it into a production app is about as easy as it gets.
Specialized tools 20
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Stop wasting hours. Get custom tools built. -
AI code assistant: Analyze, explain, and optimize snippets instantly. -
AI-powered decoder for programming symbols and syntax. -
Explain millions of code lines in minutes. -
Decode Twitter's algorithm with AI-powered answers. -
AI teaches you to code. -
Create code from prompts with AI in seconds. -
Explain code in plain English with AI -
AI-powered legacy code modernization for teams. -
Explain given codes. -
Explains code details from Kubernetes' GitHub repository -
Enter the code, get it explained. -
Clear coding explanations with practical examples. -
AI that explains programming code in detail. -
Explain the code block as comments. -
Integrating C source code into explanations. -
Explaining and demonstrating coding concepts with examples. -
I explain code in detail. -
I dissect Power Query M code. -
Decodes code with geeky flair and insider know-how.
Also used for Code explanations 2
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DeepSeek — v3.2Introduced DeepSeek Sparse Attention (DSA), a new sparse-attention system that greatly reduces compute and memory usage. Long-context performance improved, enabling faster processing of long documents, large prompts, and extended conversations. Inference cost significantly reduced — API pricing cut by more than half, making large-scale usage much more affordable. Model efficiency improved while maintaining performance similar to DeepSeek V3.1 on most tasks. Strong performance on reasoning, coding, and QA tasks, with some areas showing slight improvements. Continued support for chat mode and reasoner mode, now optimized with V3.2 architecture. Released with open-source weights, code, and tooling for easy deployment and experimentation.
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