Engineering, with an AI teammate
Cut status meetings, write release notes from PRs, and surface where engineering velocity is leaking — without leaving your IDE.
Engineering Department
@Alexia give me this sprint's engineering update. Pull merged PRs, open incidents, and ticket status.
On it. Pulling merged pull requests, ticket status, and incident timeline from your engineering stack.
Time and money back where they belong
See exactly where the hours go today and what you reclaim with Alexia.ai. Per engineering team member, every month.
26
hours saved per engineer / month
$650
monthly savings per engineer
45%
more shipping time per sprint
Where the hours come from
Hours and savings shown per team member, per month. Cost based on a $25/hr blended rate.
Release notes from merged pull requests
Sprint summaries and standups
Incident postmortem drafting
PR reviews and stale ticket nudges
Total per team member
26 hrs
$650
Plus, these are built in
HRIS, ATS, and Team Connect - all built in
Replace separate HR, recruiting, and team-collaboration tools you would otherwise pay for. Most teams save another $795+ per company every month on top of the figures above.
HRIS
People management, time off, org chart
ATS
Job posts, applicants, hiring pipeline
Team Connect
Cross-team chat, goals, files in one hub
Try these prompts on day one
Real prompts engineering teams use every day to replace manual work.
@Alexia draft release notes from this sprint's merged PRs
Customer-facing release notes grouped by feature and fix
@Alexia which PRs have been waiting for review more than 2 days
Stale PR list with author, reviewer, and nudge suggestion
@Alexia summarise last week's incidents and write a postmortem draft
Timeline, impact, root cause, and action items prefilled
@Alexia what's our cycle time trend over the last 4 sprints
DORA metrics chart with regression callouts
Plugs into the tools you already use
No rip and replace. Alexia.ai connects to your existing engineering stack.
Code repos
3 tools
GitHub
GitLab
BitbucketTicket trackers
3 tools
Linear
JiraShortcutCI/CD
3 tools
Observability
3 tools
Datadog
Sentry
New RelicIncident tools
3 tools
PagerDutyIncident.ioOpsgenieTeam chat
3 tools
Slack
TeamsDiscordUse cases for engineering teams
The most common ways engineering teams put Alexia.ai to work.
Release notes from PRs
Auto-generate customer-facing and internal release notes from merged pull requests.
Sprint summaries and standups
Replace standups with automatic sprint digests pulled from your tracker and code repo.
Incident response and postmortems
Compile incident timelines, draft postmortems, and track action items to completion.
Engineering metrics (DORA)
Live cycle time, deploy frequency, and change failure rate without manual instrumentation.
Give your engineering team
a head start, free
Free to start - no per-seat fee, with starter AI tokens in your first month. No credit card required. Pay-as-you-go for any ongoing AI usage after that.