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OpenRouter
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Based on our record, OpenRouter should be more popular than ExplainDev. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's very easy to use other providers. See https://openrouter.ai/ which also let's you filter by where the provider is hosted and their data retention policy. - Source: Hacker News / about 1 month ago
If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / about 1 month ago
Hosted, minimal ops. You want to be calling models in five minutes and you are fine paying a small fee for it. OpenRouter is the marketplace default โ 400+ models, ~5.5% on credits. Vercel AI Gateway and Cloudflare AI Gateway go further and charge 0% markup, billing you at provider list price while adding routing and caching on top. - Source: dev.to / about 1 month ago
I use OpenRouter as the single door to a pile of models. Its BYOK (bring-your-own-key) feature has a trap. You add your own OpenAI key for a model, flip on "Always use for this provider," and read that as never spend OpenRouter credits. It doesn't mean that. - Source: dev.to / about 1 month ago
Developer gateways - MegaLLM, Portkey, LiteLLM, OpenRouter. The pitch is reliability, failover, cost, analytics. They are headless: you get an API, you bring your own interface. Great for shipping code, nothing to actually use without building a client first. - Source: dev.to / about 2 months ago
Thanks for the note. Generally best to just describe the task (need to improve the system prompt to always only return tools). Here's the response I got: https://imgur.com/a/NyHBCe2 (https://programming-helper.com/ , https://explain.dev/ , https://tldrdev.ai/ , https://code-mentor.ai/) In addition to the categorization and summary (driven by GPT-4), it takes into account performance metrics of the tool (visits,... Source: about 3 years ago
Agree with so many of the comments here. I believe the way to equip folks to be productive with legacy code is build tools that replicate the goodness of an experienced engineer while on the job. Supplement the help available and ensure the person onboarding is benefitting from the questions that were asked by new folks before them. I started building the tool here: explain.dev While courses could help you feel... Source: over 3 years ago
The technology behind the images is ExplainDev, an AI powered programmer's assistant. You can think of it as an expert that's always available to answer your technical questions and explain code. - Source: dev.to / almost 4 years ago
I used explain.dev for code explanations and snappify.io for the visuals :). Source: about 4 years ago
liteLLM - One library to standardize all LLM APIs
Browser AI Kit - Run AI tools directly in your browser, free and unlimited
APIPark - โจ#1 Open Source AI Gateway & API Developer Portal
ExplainThisCode.ai - AI-powered code explanations tailored to your skill level. Paste code, upload files, or connect GitHub repos to get personalized explanations for any programming language.
Eden AI - Regrouping the best AI APIs for 10mn integration in your code
EssenceAI - Simplify Code Understanding using the power of GPT-4