HOW IT WORKS
Built for how teams actually communicate
Engineer9 lives in Slack, learns from your conversations, and surfaces the right knowledge exactly when you need it.
HOW IT WORKS
Start preserving knowledge in 3 minutes
No complex setup, no training required. Install, connect, and start asking questions.
01
Connect your Slack workspace
Install engineer9 to your Slack workspace in under 3 minutes. No complex configuration — just authorize and go.
02
Engineer9 builds your knowledge graph
It learns your team structure, system ownership, past decisions, and incident resolutions from your existing conversations.
03
Ask questions, get sourced answers
@ mention engineer9 anywhere in Slack. It searches memory, cites sources, and gives answers with full context.
EXPERIENCE
Works exactly like talking to a teammate
@engineer9 why did we move from MongoDB to PostgreSQL last year?
The migration was decided in #architecture on March 12, 2024. Here's the context:
Decision: PostgreSQL migration
Reason: MongoDB's flexible schema was causing data integrity issues at scale. The team needed ACID transactions for billing and user data.
Decision makers: Priya (Eng lead), Alex (CTO), with input from the data team.
Tradeoff noted: Higher operational complexity accepted in exchange for data consistency guarantees.
Source: #architecture thread · playbooks/postgres-migration.md
@engineer9 who owns the auth service now?
PRODUCT
Built for how engineering teams actually work
Engineer9 integrates into your existing workflow without disruption. No new tools to learn, no processes to change.
Institutional memory
Captures decisions, discussions, and context from Slack automatically. Nothing is lost when engineers leave.
Ownership mapping
Knows who owns what across your entire stack. Ask who's responsible for any service, feature, or system.
Decision archaeology
Surface the reasoning behind technical choices made months or years ago, with full context and sources.
Code context (Q2 2026)
Connect to GitHub to understand PR history, code ownership, and why specific implementation choices were made.
Enterprise security
SOC 2 Type II compliant. Data encrypted at rest and in transit. We never train on your team's data.
Always learning
Every conversation makes engineer9 smarter about your team. Knowledge compounds over time automatically.
USE CASES
Measurable impact across your org
Architecture Decisions
Preserve the reasoning behind every choice
Engineer9 captures why technical decisions were made, what alternatives were considered, and what tradeoffs matter. New engineers understand the "why" without archaeology through Slack.
10+ hrs
Saved per week*
80%
Less context switching*
Example interaction
You
@engineer9 why did we choose PostgreSQL over MongoDB?
engineer9
That was decided in #architecture on March 12, 2024. The team needed ACID transactions for billing — MongoDB's flexible schema was causing data integrity issues at scale. Priya and Alex led the decision. I have the full tradeoff analysis in the playbook.
Onboarding
Onboard engineers in days, not weeks
New hires get instant access to institutional knowledge. Engineer9 answers questions about architecture, ownership, and processes — reducing onboarding from weeks to days.
60%
Faster onboarding*
90%
Engineer satisfaction*
Example interaction
You
@engineer9 who owns the authentication service?
engineer9
The auth service is owned by Priya's team (Platform). Primary contact is Priya for architecture decisions, Raj for day-to-day ops. The runbook is in playbooks/auth-service.md and the on-call rotation is in PagerDuty.
Knowledge Retention
Never lose critical context
Team turnover doesn't mean lost knowledge. Engineer9 captures every decision, discussion, and lesson learned — building an institutional memory that outlasts any individual.
100%
Context retention
Zero
Knowledge loss*
Example interaction
You
@engineer9 what was the outcome of the API versioning discussion?
engineer9
The team decided on URL versioning (/v1/, /v2/) in the March 2024 RFC. Header-based versioning was rejected due to caching complexity. The decision thread is in #api-design and the RFC is linked from the API docs.
* Based on early results from pilot teams (6–12 weeks, 3–5 teams, 20–50 engineers)
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