Azeria for Engineering

The context behind every technical decision, in the room with your team

Azeria works alongside your engineers in shared channels: grounded in your project's docs, history and past decisions, it drafts RFCs, coordinates incidents, and remembers why you built things the way you did.

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The problem

Engineering knowledge lives in people's heads, and dies in scrolled-past threads

Architecture is debated in one channel, decided in a call, and documented (if you're lucky) in a doc nobody re-reads. Six months later, a new engineer asks why the queue is sharded that way, and the three people who know are in different time zones or gone. Reviews miss context, incidents get re-litigated from scratch, and design docs stall on a blank page because nobody wants to write the first draft.

  • Technical decisions and their rationale scatter across threads, calls, and half-finished docs, so the 'why' is lost within months
  • Onboarding is slow because context lives in tribal knowledge and the people who hold it are constantly interrupted
  • Incidents are coordinated ad hoc in a channel, then the timeline and root cause are painfully reconstructed afterward
  • RFCs and design docs stall on the blank page, and the ones that ship drift out of sync with reality
How Azeria changes it

From scattered threads to a shared, remembered engineering context

Azeria isn't a 1:1 coding chatbot off to the side. It sits in your engineering channels as a teammate that has read the project's files, history and past decisions, and remembers them. Ask it why a choice was made and it answers with citations to the actual discussion. Debate an architecture in-thread and it captures the decision so the next person inherits it. When something breaks, it keeps the incident timeline straight in the channel where the work is happening. And when you're ready to write it up, it drafts the RFC or design doc and proposes it to Notion, where a human reviews and approves before anything is created.

Engineering teams collaborating with Azeria
Core workflows

How Engineering works with Azeria.

Three concrete ways Engineering teams turn shared conversations into real, approved work.

Architecture discussion with a memory

Debate a design in a shared channel with Azeria in the room, grounded in the project's history so you don't relitigate decisions you already made.

  • An engineer opens a thread in the project channel proposing a change to how the service handles retries
  • Azeria surfaces the relevant prior decisions and constraints from project memory and docs, with citations, so the team isn't starting cold
  • Teammates and Azeria weigh trade-offs together in the same thread, with Azeria pulling in grounding facts on request
  • Azeria records the resulting decision and its rationale to organizational memory, scoped to the project
  • Weeks later, anyone can ask 'why did we choose this retry strategy?' and get the answer with a link back to this discussion

Incident coordination in the channel where it's happening

Keep an incident's timeline, context and decisions organized live, so the write-up isn't a painful reconstruction afterward.

  • The team spins up (or uses) an incident channel and starts working the problem together with Azeria present
  • Azeria pulls related past incidents, prior resolutions and relevant project context from memory to speed the team from symptom toward likely cause
  • As responders post findings and actions, Azeria keeps a running, structured timeline in-thread so nobody loses the thread of what's been tried
  • Once resolved, Azeria drafts a post-incident write-up from the channel history and proposes it as a Notion page for a human to review and approve
  • The incident and its root cause enter project memory, so the next similar symptom surfaces this resolution automatically

RFC and design-doc drafting to Notion

Turn a messy thread of ideas into a structured first-draft RFC, grounded in project context, proposed to Notion for human approval.

  • An engineer sketches a rough idea in the channel: a few bullets, a problem statement, some constraints
  • Azeria expands it into a structured RFC draft, pulling in relevant existing decisions, files and context from the project so it isn't generic
  • The team refines tone, scope and detail with Azeria directly in the thread until the draft holds up
  • Azeria proposes creating the doc as a Notion page; a human reviews the full content and approves before anything is written
  • The approved RFC and the decision it captures are remembered, so future discussions reference it instead of rediscovering it
In the channel

What it looks like.

Outcomes

What Engineering teams get.

Works with your tools, stays in your control

Relevant integrations: Notion · MCP · Gmail & Calendar. Every write is propose-then-approve, scoped to your workspace with roles and private/public boundaries, and a behavior decision never widens what Azeria is permitted to access or do.

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