Cogito for Engineering

An AI brain for your engineering team.

Build with full context, then let the AI ship the busywork. Cogito connects Linear, Slack, Notion, and the incoming customer signals so engineering reasons across the full picture, then drafts release notes, files customer-context-attached Linear tickets, and surfaces related issues - with your approval.

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In one sentence

An AI brain for engineering teams. Cogito connects Linear, Slack, Notion, and incoming customer signals into one source the team can ask anything: blockers, release readiness, sprint status.

5 ways Cogito changes how Engineering teams work

1Triage incoming bugs against existing Linear issues and customer impact
2Onboard new engineers with persistent context on past architectural decisions
3Cross-reference customer-reported issues with the current sprint
4Draft release notes from closed Linear cycles, grouped by theme
5Run cross-team queries without DM-tax

“Before Cogito, the people who knew which customers were waiting on which feature were the support team, two Slack threads away from the engineers building it. Now everyone is reasoning from the same picture.”

A composite persona based on common patterns across teams using Cogito. A staff engineer at a 50-person product company. Work tracked in Linear, customer issues landing in Slack from CS, architectural decisions captured in Notion, support conversations in Intercom.

What a week looks like

Concrete moments where Cogito changes the shape of the day, drawn from how teams in this role actually work.

Sprint planning with the customer in the room

You are about to sprint-plan and there are forty open Linear issues. You ask Cogito which ones have the most customer activity in the last two weeks across Intercom conversations and Slack feedback channels. Three issues are tied to multiple high-value accounts and you did not know it. Priorities reshuffle in five minutes instead of a forty-five-minute debate.

Release notes that the whole company can actually read

Friday is release day. You ask Cogito to draft release notes from the Linear issues closed since the last cycle, grouped by theme, with the user-visible changes pulled out into customer-friendly language and the breaking changes flagged for support. You review, tweak, and post. The CS team has the heads-up they need before the deploy goes out.

The bug that was already filed

A customer reports a weird edge case. Before opening a ticket, you ask Cogito if anyone has seen this before. It surfaces a Linear issue from four months ago that was closed as wontfix, plus two Slack threads where the bug was discussed and a Notion design doc that touched on it. You re-open the issue with full history attached instead of starting from zero.

Ask. Act. Automate.

Build with full context, not guesswork

ask-cogito

Youjust now

What's blocking the v2 release? Anything in customer signals we're missing? @Cogito

CogitoAppjust now

Three issues are blocking: ENG-1284 (payment retry race condition, in code review for 3 days), ENG-1291 (migration script needs a dry-run flag, no owner assigned), and a flaky test in the checkout suite causing CI false-negatives. One signal you may have missed: two customers raised the same v1 export bug in Intercom yesterday — it would be cheap to roll the fix into v2 instead of patching twice. Linear GitHub Slack Intercom

Message #ask-cogito

Integrations that power this work

Real shipped integrations, with first-class API depth and real-time event triggers.

Engineering decisions stop being driven by the loudest voice in Slack and start being driven by data across every customer signal.