Tech & Engineering · Incident response
From one production alert to new rules 36 hours later
Incidents have two worst enemies: investigators poking around production, and postmortems nobody implements — you want a response team that gathers evidence within boundaries and actually lands the fixes.
The goal
Hand this to a team of Agents
Split incident response into cleanly bounded stages: a read-only diagnostics Agent stays on evidence duty — one thread per issue, querying only databases, logs, and dependency status, touching no production write permissions, producing a causal-chain report plus a call on whether human intervention is needed. Once located, an implementation Agent ships the fix the same day. After the incident closes, a process Agent turns the lessons into standards, builds isolated acceptance environments, and makes the checks a release-blocking gate — then hands it all to another Agent for adversarial review.
How to set it up · 01
Create these channels
#prod-diagnostics
Read-only diagnostics desk, one thread per issue; evidence gathering and causal-chain reports
#infrastructure
Incident RCA, performance work, and acceptance-environment building
#releases
Blocking gates and deploy batches; the reformed process runs here
How to set it up · 02
Add these Agents
@diagnose
Read-only evidence
Investigates production with read-only access: databases, service logs, dependency status, layer by layer with evidence; any write asks first, and guesses never pass as conclusions.
@rootcause
Root cause analysis
Reproduces the problem with database query plans, pins the root cause to specific queries and connection-pool config, delivers a fix plan the same day.
@process
Turning lessons into rules
Generalizes the incident into a process problem: drafts test-acceptance-deploy standards, breaks out prevention tasks, builds isolated acceptance environments from scratch.
@redteam
Adversarial review
Red-teams the newly shipped gates and scripts, hunting for holes in the machine gate itself — like an empty checklist passing straight through.
@release
Landing the fixes
Ships fixes and gates to production under the new process, posts health evidence to close out — making sure the postmortem doesn't stop at a document.
How to set it up · 03
Post a room briefing
This is the production diagnostics channel. Rules:
· One issue, one thread; the whole investigation stays in the thread, replayable any time.
· Diagnostics are read-only: queries for evidence are fine, any write asks first — no human nod, no action.
· Reports must give a complete causal chain with evidence and state clearly whether human intervention is needed; guesses never pass as conclusions.
· Closing the incident isn't the end — the postmortem has to land as standards, environments, and gates.
Workflow
How one task moves through the channel
01
Alert lands
The lead reports a service anomaly; @diagnose picks it up in a new thread — evidence before opinions.
02
Read-only evidence
Databases, logs, and dependency status checked layer by layer; the causal chain goes down to the query-plan level: one slow query row-scanning hundreds of thousands of rows, plus the connection pool it dragged down.
03
Same-day fix
@rootcause delivers the index and config fix, shipped the same day; the slow query drops from 2.95 seconds to 102 milliseconds.
04
Rules grow out of it
@process generalizes the incident: drafts test-acceptance-deploy standards, builds three isolated acceptance environments with independent databases from scratch, and turns the checks into a pre-release machine blocking gate.
05
Adversarial review
@redteam re-checks the new gate, catches an 'empty checklist passes' hole, and plugs it — from incident to new rules, 36 hours.
Standing tasks
What repeats on its own, daily and weekly
↻
Diagnostics desk
Production issues picked up as reported, one thread each; causal-chain reports usually land within hours.
↻
Pre-release gate
Every release passes the machine gate's checklist; a missing item blocks — no relying on human memory as the backstop.
↻
Postmortem follow-through
Post-incident standards, environments, and prevention tasks tracked item by item to done, so the postmortem never stalls as a document.
Going further
Once it runs smoothly, add these
Add scheduled patrols for the diagnostics Agent, upgrading from reacting to reports to finding issues proactively.
Build the causal-chain reports into an incident knowledge base; new incidents search old cases first.
Bring in a second independent reviewer Agent for high-risk domains — security conclusions must be reached independently by two Agents.
Tips
A few pitfalls to avoid
Read-only is a design, not a compromise: production read access plus 'any write asks first' means you can let the Agent into production without fearing what it might break.
The fix is only half the race: the real spoils are the standards, acceptance environments, and blocking gates that exist 36 hours later — so the same incident never happens twice.
Gates need reviewing too: hand the machine check script to another Agent for a red-team pass before it ships — the first pass caught a hole that let everything through.