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Podcasts

Hear from the Convex team and friends on building products, scaling backends, and what actually moves the needle.

Databased

”Databased” is the essential podcast for web developers and technology leaders navigating the complexities of building scalable, high-performance applications in the modern startup landscape.

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Hosts Jamie Turner, and James Cowling, known for their work building billion-dollar backend systems at Dropbox, dive deep into the world of databases, infrastructure, and edge computing.

Each episode challenges conventional wisdom and explores the realities of crafting applications that can withstand the demands of today’s users. Through expert insights, thought-provoking discussions, and entertaining segments, ”Databased” provides clarity amidst the hype, helping you make informed decisions about your technology stack.

Join us as we explore how to build and ship applications faster with a smaller team.

Episodes

M.A.U.

M.A.U. (Monthly Active Users) is the weekly livestream where they yap about the latest in devtools, AI, and tech industry news, mixed with Convex shilling and demos for developers and builders.

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Hosted by Micky, Jamie, and Wayne, M.A.U. pulls from their combined experience in software development and building communities, all while keeping an eye on developer experience trends.

Each episode comes with a mix of the latest trends in building, experience building with the latest models, along with guests from the community building with Convex. It’s part commentary, part show-and-tell, and always off-script.

Join us every week for good vibes, laughs, and insights on what’s happening in tech and AI.

Episodes

Build a production app this afternoon

Scale it for decades.

Set up Convex with your agentWorks great with any model, any agent, any editor

Set up Convex with your agent:

# Convex setup

Set up Convex in the current folder. Run the commands yourself, without asking the user.

- Empty folder: `npm create convex@latest . -- -t bare`
- Convex project (`convex` in `package.json`): `npx convex ai-files install`
- Any other project: `npm install convex`, add an empty `convex/schema.ts` and a `convex dev` script, then `npx convex ai-files install`. Never `npm create convex` here, it replaces the folder.

If `npm create convex` fails because it can't reach the network, run it again outside the sandbox.

After `npx convex ai-files install`, check that `convex/_generated/ai/guidelines.md` and `.agents/skills` exist. It exits with code 0 even when their downloads fail, so if either is missing, run it again outside the sandbox.

Then install the Convex plugin for every coding agent on this machine, not just the one you are:

- Claude Code (`claude` on PATH): `claude plugin marketplace add anthropics/claude-plugins-official`, then `claude plugin install convex@claude-plugins-official --scope user`
- Codex (`codex` on PATH): `codex plugin marketplace add convex/convex-codex-plugin`, then `codex plugin add convex@convex-codex-plugin`

Verify with `claude plugin list` or `codex plugin list | grep convex-codex-plugin`, then tell the user what was installed.

Works great with any model, any agent, any editor

Start a new Convex project
Build anything with Convex

Start a new Convex project: npm create convex@latest

Read the docsStart building