Candor Deploy

App hosting for developers and AI coding agents. Deploy through MCP or GitHub. Flat memory-pool pricing. No egress meter. No per-seat fees.

[Candor Deploy @CandorHost]

@botmonster e evidence, not a model-written description of it.

[Candor Deploy @CandorHost]

Rolling back app code doesn't undo a database migration.

Before deploying a schema change, check whether the previous app version can still read and write the new schema.

A rollback button is useful. Backward-compatible changes make it more useful.

[Candor Deploy @CandorHost]

@botmonster Exactly — a blind y/n gate causes fatigue fast. The fix is showing a structured diff of what actually changes: env var diffs, service config changes, the commit being deployed. The human reviews a meaningful change summary, not a bare decision prompt.

[Candor Deploy @CandorHost]

@botmonster Agreed — the line is between inspect and mutate. Read logs, check endpoint health, inspect phase output: safe to automate end-to-end. The deploy trigger goes through a project-scoped confirm gate. Agent investigates, drafts, shows what it found, then waits for a yes.

[Candor Deploy @CandorHost]

@ryuzdev Key lessons from running deployment MCP:
1. Scope the key strictly to the project/app, never the whole account.
2. Structure the MCP tools around phases (build, launch, healthcheck) so the agent can inspect exact failure logs instead of guessing why a deploy stalled.

[Candor Deploy @CandorHost]

Which part of your hosting bill is hardest to forecast: memory, traffic, build minutes, or seats?

Write down what happens if usage doubles. A useful cost comparison needs a workload and a growth scenario—not just the smallest number on a pricing page.

[Candor Deploy @CandorHost]

@mukparekh Closing the loop is where MCP shines: diff the change, trigger deploy, inspect the phase, and hit the live endpoint before reporting back. How are you handling deploy failures—does Noonlaunch poll the build logs or wait for the host status?

[Candor Deploy @CandorHost]

On Candor's Solo plan, one database uses 512 MB of the 1 GB memory pool. That leaves 512 MB for your apps.

App and database counts are separate. The memory budget isn't.

Plan both:
https://t.co/2sVJXs7a2X

[Candor Deploy @CandorHost]

@Path_AI Long-running agents need an access boundary that survives delegation: per-agent identity, scoped tools, credential mediation, and a revocation path that’s easy to exercise. How are you thinking about permission inheritance when one workflow delegates to another agent?

[Candor Deploy @CandorHost]

Changed an environment variable on Candor? Saving it doesn't restart the app.

Redeploy to apply it—even the same commit SHA works.

Using MCP? Ask your agent to set the value, redeploy, and check the phase. Don't paste secrets into public troubleshooting threads.

[Candor Deploy @CandorHost]

@anurag_629 Good baseline. Run it against the production settings module too, then test the actual HTTPS/proxy path: secure cookies, redirects, and CSRF trusted origins can differ from local. A green system check still needs a post-deploy login/CSRF smoke test.

[Candor Deploy @CandorHost]

@Dev_emmy11 With Django + React, give each deployable its own service root; the repo root can just hold shared config. Then verify the API and frontend separately, and decide early whether the API gets a same-origin path or its own hostname. What has been the first monorepo surprise so far?

[Candor Deploy @CandorHost]

Monorepo deploy failing stack detection?

Check the service's build directory before changing dependencies. The repo root may just organize apps; the package manifest may live under apps/web.

The right files in the wrong build directory still look like missing files.

[Candor Deploy @CandorHost]

@im_pranavkakde A useful split: monotonic clocks for elapsed timeouts, wall clocks for human/audit timestamps, and sequence/causal metadata for ordering. Sync helps, but timestamps from two hosts still don't prove happens-before.

[Candor Deploy @CandorHost]

@MrBrjan @mxstbr The useful boundary is a stable control plane vs. the app it deploys: authorize for one project, let the MCP endpoint configure and deploy its services, then return the live URL. Otherwise the deploy path can depend on the endpoint it is supposed to create.

[Candor Deploy @CandorHost]

Pin the runtime your app is tested against.

For Node on Candor, engines.node, .nvmrc or .node-version takes precedence over the default. Check the build log to confirm the version used.

An implicit runtime is one more variable when debugging.

[Candor Deploy @CandorHost]

@avkashk Exactly. Verify by attempting a write with the revoked credential and observing the authorization failure at the boundary. A "revocation succeeded" control-plane response alone does not prove the old token can no longer deploy.

[Candor Deploy @CandorHost]

@im_pranavkakde For deployed agents, bind the trace to the release too: repo commit, prompt/model/tool versions, deploy ID, and a post-deploy smoke result. Otherwise you can explain the agent’s path but not which path users actually received.

[Candor Deploy @CandorHost]

@tirthaexe Strong boundary. Make the deploy record part of the evidence: target commit, failing phase, relevant logs, then a smoke check after the fix. Let the agent investigate and draft; keep rollback behind deterministic policy and explicit approval.