Use Case
Your engineering team's second brain
Conduity connects to GitHub, Linear, Google Calendar, and your internal docs — then works alongside your team to triage issues, summarize pull requests, answer architecture questions, and keep everyone in sync. Without another standup.
The Challenge
The Problem
Engineering teams drown in context-switching. Between Slack threads, Linear boards, GitHub notifications, Google Docs, and the occasional email, the actual information your team needs is scattered across a dozen tools. Developers spend hours every week just figuring out what happened while they were heads-down coding.
- “What’s the status of...” questions that interrupt deep work
- Stale tickets that nobody triaged because the backlog is overwhelming
- PR descriptions that say “fixed stuff” because writing a real summary feels like busywork
- Onboarding new devs takes weeks because tribal knowledge lives in people’s heads, not in searchable docs
- Sprint retros that nobody prepares for because compiling the data takes longer than the meeting itself
You’ve probably tried automating some of this with Zapier or custom scripts. But rules-based automation can’t read a bug report and decide if it’s a P1. It can’t summarize a 47-file PR. It can’t answer a new hire’s question about why you chose Postgres over MongoDB six months ago.
The Solution
How Conduity Solves It
Connect your stack
Link your GitHub repos, Linear workspace, Google Calendar, and Notion or Confluence pages. Conduity’s agent can read issues, PRs, calendar events, and documents — and take actions like posting comments, updating issue status, or creating new tickets.
Upload your docs
Drop your architecture docs, runbooks, API specs, and onboarding guides into the knowledge base. The agent searches them automatically using RAG whenever someone asks a question — no manual tagging or linking required.
Let it learn
Every conversation builds the agent’s memory. When your team discusses a technical decision (“we’re going with Redis for the session store”), the agent remembers it. Weeks later, when someone asks “what are we using for sessions?”, the answer is instant and accurate.
Automate the routine
Set up automations for the repetitive work: morning briefings, PR summaries on merge, issue triage on creation, weekly sprint digests. The agent handles it on schedule or in response to events — no manual trigger needed.
In Practice
A Day With Conduity
9:00 AM — Morning briefing lands automatically
Your automation fires at 9 AM every weekday. The agent checks Linear for overnight updates, GitHub for merged PRs and new issues, and your calendar for today’s meetings:
Agent
Morning Briefing — Thursday, Feb 6
Overnight PRs merged: 3 — #412 (auth refactor), #415 (rate limiting), #418 (dashboard fix)
New issues: 2 — ENG-203 (login timeout on Safari, filed by support), ENG-204 (API returns 500 on empty payload)
Untriaged: ENG-203 looks like a P2 based on similar issue ENG-178 from last month. ENG-204 has no repro steps yet.
Today’s calendar: Sprint planning at 10 AM, 1:1 with Alex at 2 PM. You have a 3-hour block from 11 AM–2 PM.
You didn’t ask for any of this. It just showed up.
10:30 AM — New hire asks a question
Your newest developer, two weeks in, messages the agent on Slack:
Dev
How does our authentication system work? I need to add a new protected route.
The agent searches the knowledge base, finds the auth architecture doc you uploaded, and responds with a concise answer — including the middleware pattern, the relevant file paths, and a link to the full doc. No senior engineer interrupted. No 30-minute Zoom call to explain something that’s already documented.
1:15 PM — PR merged, summary posted automatically
A developer merges a large refactor. Your automation triggers on the pull_request.closed event and the agent reads the diff:
Agent
PR #420 merged: Migrate from REST to tRPC for internal API
What changed: Replaced 14 REST endpoint files with 6 tRPC routers. Updated all client-side fetch calls to use the tRPC client. Added end-to-end type safety between frontend and backend.
Why: Eliminates runtime type mismatches that caused 3 production bugs last quarter. Reduces API boilerplate by ~40%.
Breaking changes: Any external service calling the old REST endpoints needs to migrate. See migration guide in the PR description.
Test coverage: 94% on new routers (up from 71% on old endpoints).
The entire team sees it without reading a 47-file diff.
3:00 PM — Issue triage, zero effort
A support ticket flows into Linear. Your automation triggers on issue.create:
Agent
Triage comment on ENG-205:
This appears to be a duplicate of ENG-189 (resolved last sprint). The fix was in the rate limiter — same endpoint, same error signature. Suggested action: verify the fix from ENG-189 is deployed to production. If it is, this may be a regression.
Suggested priority: P2 Suggested assignee: Maya (most recent work on rate limiting)
The agent read the issue, searched for similar past issues, checked who worked on that area, and posted an assessment. A human still makes the final call — but the research is done.
5:00 PM Friday — Weekly digest
End of the week, the agent compiles everything:
Agent
Weekly Digest — Week of Feb 3
Shipped: 12 PRs merged. Key changes: tRPC migration (PR #420), rate limiting v2 (PR #415), Safari auth fix (PR #422).
Velocity: 34 story points completed vs. 30 planned. 2 issues carried over (ENG-198, ENG-201).
Blockers mentioned this week: Waiting on design sign-off for the settings redesign (mentioned by Sarah on Tuesday). API rate limit from third-party provider hitting during peak hours (mentioned by Alex on Thursday).
Decisions made: Switching from Mocha to Vitest for testing (conversation with Maya on Wednesday). Going with server-side rendering for the new dashboard (sprint planning on Thursday).
Next week: Sprint 14 starts Monday. 6 issues in the backlog are unestimated.
Example Prompts
| Prompt | What happens |
|---|---|
| "What PRs were merged this week?" | Agent queries GitHub, summarizes each PR |
| "Triage ENG-205" | Agent reads the issue, searches history, suggests priority |
| "Draft an architecture doc for the new billing system" | Agent pulls from memory and knowledge base, generates a doc |
| "What did we decide about the database migration?" | Agent searches memory for decisions |
| "Summarize the last 5 merged PRs for stakeholders" | Agent fetches PRs, writes a non-technical summary |
| "Create a bug report for the login timeout" | Agent creates a Linear issue with description and labels |
| "What's on my calendar today?" | Agent checks Google Calendar + Linear, flags conflicts |
Features That Make It Work
Integrations
GitHub (repos, PRs, issues, commits), Linear (issues, projects, comments), Google (Calendar, Gmail, Drive), Notion, Figma. The agent reads and writes to your tools — it doesn’t just summarize, it takes action.
Knowledge Base
Upload architecture docs, runbooks, API specs, onboarding guides. The agent searches them automatically when a question is relevant. New hires get answers in seconds instead of waiting for a senior engineer.
Memory
Every conversation builds context. Technical decisions, team preferences, project state — the agent remembers it all. Ask “what database are we using?” six months from now and get the right answer.
Automations
Morning briefings, PR summaries, issue triage, weekly digests — all running on schedules or webhook events. Set it up once, it runs on its own.
Files
The agent generates documents: architecture docs, sprint reports, meeting prep, postmortem templates. Every file is saved, versioned, and linked to the conversation that created it.
Channels
Deploy the agent to Slack so developers can ask questions where they already work. Or keep it in the web dashboard for focused conversations.
Who It’s For
- Startup engineering teams (5–20 people) who move fast and don’t have time for manual processes
- Platform/infra teams who maintain internal tooling and field questions from other teams
- Engineering managers who need visibility without micromanaging
- New developers who need to ramp up quickly on a complex codebase
- DevOps/SRE teams who want automated incident triage and runbook retrieval
Stop context-switching. Start shipping.
Connect GitHub and Linear in under 5 minutes. Free plan includes 1 agent and 50 messages/month.
Try It Free