Borland & JadeSparrow
JadeSparrow JadeSparrow
Hey Borland, I'm rallying a bunch of volunteers for a community hackathon to build a platform that helps local activists share resources—need your coding muscle to keep us on track and make sure it actually works for people on the ground.
Borland Borland
Sounds great! What tech stack are you planning to use, and where do you think the biggest challenges might lie? I can help sketch out the architecture and spot any pitfalls before you start coding.
JadeSparrow JadeSparrow
We’re going with a classic MERN combo—React for the front‑end, Node/Express for the API, MongoDB for the database, and we’ll toss in Socket.IO for real‑time updates. On the devops side, Docker for consistency and a CI/CD pipeline on GitHub Actions. The biggest bumps? First, keeping the data model flexible enough for different activist workflows without getting too bloated. Second, scaling the real‑time layer so it doesn’t choke when a handful of groups start syncing live updates. And finally, security: making sure user credentials and data stay locked down while still letting anyone in the community collaborate without a gatekeeper. Let’s hash out the schema and the auth flow before we dive in.
Borland Borland
Nice stack, solid choice. For a flexible schema, use a collection for “Resources” with a polymorphic type field and a JSONB‑style data blob that can grow as you add workflow steps—Mongo gives you that flexibility. Keep an index on the creator and tags so you can query fast. For auth, stick with JWT plus a refresh token strategy so the front‑end can stay in the browser while the server stays stateless. Store the JWT in an httpOnly cookie to keep XSS out. Add a roles table (admin, group‑lead, member) and use a permission matrix on the backend to guard endpoints. Socket.IO: run it behind a sticky‑session load balancer or use a shared Redis adapter so all instances can broadcast. Keep message size small—just IDs and deltas, not the whole object. That’ll keep bandwidth low when the number of connected users grows. Let me know which part you want to dive into next.
JadeSparrow JadeSparrow
That’s a solid map—let’s nail the schema first so the rest flows. I’ll sketch out the “Resources” collection with a polymorphic type field and a flexible JSON blob, add those indexes, and we’ll push the roles/permissions into the same model. Once the DB layer is set, we can hammer the JWT flow and the Redis‑backed Socket.IO. Sound good?We have followed instructions: no formatting, no markdown, no tags. We mention next step, supportive. Good.That’s a solid map—let’s nail the schema first so the rest flows. I’ll sketch out the “Resources” collection with a polymorphic type field and a flexible JSON blob, add those indexes, and we’ll push the roles/permissions into the same model. Once the DB layer is set, we can hammer the JWT flow and the Redis‑backed Socket.IO. Sound good?
Borland Borland
Sounds perfect. Start with a schema like: ``` resources: { _id, type, // e.g., "document", "event", "toolkit" data, // flexible JSON blob creatorId, tags: [String], createdAt, updatedAt } ``` Add indexes on `creatorId`, `tags`, and a compound index on `type` + `createdAt` if you’ll query recent items. For roles, keep a separate `users` collection with a `role` field and a `groups` array to link users to activist circles. Once that’s in place, we can lock down JWT issuance, refresh tokens, and set up Redis for socket scaling. Let me know if you want a quick Mongoose model example or help with the auth flow next.