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Your coding agents don't know what they don't know. Ardelio hands them your team's real constraints over MCP, before they write the diff.

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# eng-helpwaited 32 min
newdev 11:42 AM

hey quick one before i touch update-profile, is the retry cap still a thing?

maya replied 32 minutes later…

without ardelio
cursor ardelio.mcp118ms

"what constraints for update-profile?"

retry cap: 2 (hard limit).
jitter invalidates idempotency key.
@platform-auth sign-off required.

PR #4812runbook/auth.md#eng-help · 3w ago
with ardelio
Runs in your cloudRead-onlyYour data never leaves your environment

Many sources in.
One answer out.

Before it writes the diff, the agent makes one call to Ardelio.

One reconciled answer, with its sources.

cursor → ardelio.MCPask
{
"question": "what constraints exist for update-profile?",
"mode":     "answer"
}
ardelio.MCP → cursor118ms
{
"finding":  "retry cap fixed at 2; jitter invalidates
idempotency key; @platform-auth sign-off required.",
"evidence": [
"pr:#4812 · review thread",
"runbook/auth.md",
"slack:#eng-help · 3w ago"
],
"owner":    "@platform-auth",
"cost":     0.14 // usd
}
Deterministic and auditable. Every answer carries the sources it came from.
Slack/# eng-help
nd
newdev11:42 AM

hey maya quick one before i touch update-profile. is the retry still a thing?

32 minutes later
m
maya12:14 PM

yeah three things

  • ·do not raise the retry cap. budget is 2, hard. (PR #4812)
  • ·do not add jitter, breaks the idempotency key.
  • ·ping @platform-auth before you ship.
every engineering team, every tuesday. maya is the team's knowledge harness.

And when the sources don't agree?

That retry cap was written down three times, three ways. Ardelio doesn't average them or pick the safest. When sources genuinely disagree, it asks the team that owns the call, then remembers the answer.

retry cap?
Confluencecap = 5
PR #4812cap = 2
Slackcap = 3
Conflict → asks the team
Ardelio pings @platform-auth: which retry cap is current?
Clarified, then remembered.

It flags conflicts quietly piling up.

Where it shows up.

Before code ships
The agent carries the rules that apply: the retry cap, the cache key, the co-deploy, the runbook no one wrote down. It ships pull requests your senior would approve, and catches the rules that never made it into the code.
When something breaks
The on-call agent knows what changed, who owns it, what's similar, and what not to do. Same knowledge surface, a different moment.
When someone new starts
Their coding agent already has what the team knows. Onboarding shrinks from months to a session, and decisions outlive whoever made them.

How.

Ardelio gathers knowledge from your connected sources, repositories, pull requests, code review comments, Slack, runbooks, deploys, and incident timelines. It reconciles them into one continuously-current understanding of how your team builds and operates. Engineers reach it through the coding agent they already use, via MCP.

Lives in your own cloud. Read-only credentials. Your data never leaves your environment.

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