Swipe through short lessons on coding with AI and PHP. Learn how coding agents work, understand code examples, and test yourself with exercises and explained answers. Connect Codex or Claude Code through MCP to continue with your saved progress.
Kodivo breaks programming topics into short, swipeable cards. Each lesson includes examples and practice questions with explanations of the answers.
There are two free learning paths:
• Coding with AI: learn to give coding agents clear tasks and choose the context they need. You'll also practice checking their work.
• PHP: learn programming concepts through code examples, their output, and links to the documentation.
You can learn entirely in your browser. If you'd rather use your own AI agent, connect Codex or Claude Code through MCP. Your agent can read your Kodivo lessons and saved progress, so you can pick up where you left off.
You can try the public demo without an account, then create one to save your progress.
I'd love to hear what you think of the exercises. Do the explanations help you understand why an answer is correct? If something feels confusing, please point it out. And if you try connecting your AI agent, I'd appreciate hearing how the setup went.
I'm joining Hypership Day and will be here shipping improvements based on your feedback. Try a lesson or connect your AI agent, and tell me where you get stuck.
No comment highlights available yet. Please check back later!
About Kodivo on Product Hunt
“Learn coding with AI and PHP through swipeable cards”
Kodivo launched on Product Hunt on November 6th, 2026 and earned 68 upvotes and 1 comments, placing #9 on the daily leaderboard. Swipe through short lessons on coding with AI and PHP. Learn how coding agents work, understand code examples, and test yourself with exercises and explained answers. Connect Codex or Claude Code through MCP to continue with your saved progress.
Kodivo was featured in Education (79.5k followers), Developer Tools (522.6k followers) and Online Learning (3.8k followers) on Product Hunt. Together, these topics include over 134.7k products, making this a competitive space to launch in.
Who hunted Kodivo?
Kodivo was hunted by Jakub Lipiński. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Kodivo stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jakub Lipiński
Hey,
I'm Jakub, the maker of Kodivo.
Kodivo breaks programming topics into short, swipeable cards. Each lesson includes examples and practice questions with explanations of the answers.
There are two free learning paths:
• Coding with AI: learn to give coding agents clear tasks and choose the context they need. You'll also practice checking their work.
• PHP: learn programming concepts through code examples, their output, and links to the documentation.
You can learn entirely in your browser. If you'd rather use your own AI agent, connect Codex or Claude Code through MCP. Your agent can read your Kodivo lessons and saved progress, so you can pick up where you left off.
You can try the public demo without an account, then create one to save your progress.
I'd love to hear what you think of the exercises. Do the explanations help you understand why an answer is correct? If something feels confusing, please point it out. And if you try connecting your AI agent, I'd appreciate hearing how the setup went.
I'm joining Hypership Day and will be here shipping improvements based on your feedback. Try a lesson or connect your AI agent, and tell me where you get stuck.
Try a lesson: https://kodivo.dev/demo
Thanks for taking a look!
Jakub