Stop managing status. Start shipping.
Axeng is an autonomous AI chief of staff for engineering leaders. It watches the operational signals across GitHub, Linear, calendar, meeting notes, and team memory — then turns them into briefings, risks, reports, and actions.
$ axeng standupGenerate today’s engineering standup brief
$ axeng pr-healthFind stale PRs and review bottlenecks
$ axeng prep RuiPrepare a 1:1 pre-read
$ axeng report --weekly --sendBuild and send the weekly team report
Ships with integrations for
Code delivery signal
Issue tracking & sprints
Calendar & meetings
Team communication
Alert delivery
Knowledge base
Meeting transcripts
Need more integrations? Maio Labs can build custom connectors for your stack.
The real problem
Engineering leadership has too much signal and not enough operating system.
Axeng does not replace judgment. It removes the repetitive collection, synthesis, and follow-up work that keeps engineering leaders away from decisions only they can make.
Status is scattered
GitHub, Linear, calendar, meeting notes, and chat all hold fragments of the truth. Managers spend the morning stitching it together.
Risks surface too late
Blocked issues, stale PRs, sprint drift, and overloaded engineers become visible only after delivery has already slipped.
Operating rhythm is manual
Standups, team reports, 1:1 prep, OOO tracking, and offboarding are repetitive coordination work masquerading as leadership.
Capabilities
Built for the rituals that make teams move.
GitHub shipped summaries
Merged PRs are treated as the primary delivery signal, with direct commits as fallback context and per-developer achievement summaries.
Sprint and DORA intelligence
Track sprint health, delivery flow, review bottlenecks, lead time, deployment frequency, and team throughput from operational data.
Meeting and 1:1 preparation
Generate concise pre-reads using calendar context, team memory, recent work, action items, and meeting notes.
Executive briefings
Daily standups, end-of-day digests, weekly reports, and risk alerts delivered where the team already works.
Operational governance
Offboarding workflows, vacation tracking, team reports, stale project detection, and evidence-backed management rituals.
Local-first deployment
Runs on your machine or a small server. Bring your own GitHub, Linear, Google Workspace, Telegram, and LLM provider.
Data Orchestration
Intelligence flows through your stack
Axeng continuously observes, correlates, and synthesizes signals from across your engineering operations.
Sources
- GitHub commits & PRs
- Linear issues & cycles
- Calendar & meetings
- Team chat & notes
Axeng Core
- Signal correlation
- Pattern recognition
- Context synthesis
- Action generation
Outputs
- Daily standups
- 1:1 pre-reads
- Risk alerts
- Team reports
Workflow
From scattered activity to executive-ready action.
The product pattern mirrors how strong engineering managers already operate: observe the system, reason from evidence, brief the team, and act decisively.
Observe
Ingest signals from GitHub, Linear, Google Workspace, chat, Granola, and Obsidian.
Reason
Map activity to people, projects, risks, blockers, and delivery outcomes.
Brief
Produce Telegram-ready standups, reports, 1:1 pre-reads, and decision summaries.
Act
Create issues, manage offboarding, update notes, send reports, and keep the operating system current.
saved on recurring engineering management rituals
monitoring from a local machine or server
open source, auditable, and self-hosted
enough to run a real engineering command center
Build an engineering operating layer that does not forget.
Install locally, connect the sources your team already uses, and let Axeng turn operational noise into a daily execution rhythm.