Daywing for Engineering

Less coordination around the code.

Keep issues, investigation notes and release communication in order. An AI agent you can delegate work to, using your team’s existing software.

Choose your first job ↗
A job you could delegate
“Create a useful engineering issue. Keep the result with the work, and tell me what needs my attention.”

Illustrative request · Actual scope and connections are checked before execution.

Four practical places to start

Give Daywing the objective and context. It works through the steps, retains the result, and checks changes in the destination tool. Ask in web chat, Slack, Teams or iMessage once your channel is connected.

01

Create a useful engineering issue

A reproducible issue saved in the correct repository or project.

Give Daywing this job ↗
What the job involves
  1. Read existing issues for duplicates and conventions.
  2. Write reproduction, observed/expected behavior and unknowns.
  3. Prepare one issue creation action.
  4. Read back the issue and verify title, body and project.

Start with: Repository or project; Observed behavior; Expected behavior and evidence.

What a good result requires
  • No invented root cause.
  • No code deployment implied.
  • Keep customer evidence in its approved scope.
02

Triage a bounded issue queue

Evidence-based classification and authorized label or owner updates.

Give Daywing this job ↗
What the job involves
  1. Read issues and relevant project rules.
  2. Apply the employee’s explicit categories.
  3. Prepare exact labels or assignee updates.
  4. Read each changed issue and compare the fields.

Start with: Queue; Triage rules; Allowed fields.

What a good result requires
  • No automatic security severity from insufficient evidence.
  • Do not close issues without explicit criteria.
  • Do not modify code or merge PRs by implication.
03

Prepare release notes from completed work

Source-backed notes with changes and known limitations.

Give Daywing this job ↗
What the job involves
  1. Read the selected release and merged work.
  2. Exclude unresolved or unrelated changes.
  3. Write user-facing changes and limitations.
  4. Save notes with source issue and PR references.

Start with: Release or milestone; Audience; Included merged work.

What a good result requires
  • Merged does not mean deployed.
  • No invented fixes or performance figures.
  • Keep internal security details out of public notes.
04

Document a known operational procedure

A saved runbook grounded in supplied steps and evidence.

Give Daywing this job ↗
What the job involves
  1. Read the existing runbook and supplied operational context.
  2. Write prerequisites, steps, verification and recovery.
  3. Save the agreed revision to the knowledge tool.
  4. Read back the revision and body.

Start with: Procedure; Confirmed steps; Destination page.

What a good result requires
  • Do not run arbitrary production commands.
  • Flag untested recovery steps.
  • No secret values in documentation.
Keep your existing software

Work where the
work already lives.

Choose the relevant app for the job. Each employee’s agent has its own access. Admins can assign systems; employees can connect accounts they already use.

Choose connections ↗
Engineering toolsGithub / Linear / Jira
Company knowledgeNotion / Google Docs

Writes use exact approval or a routine scope you delegate. The saved result is checked independently. Scheduled work uses a saved cadence and follows the same permissions.

Pilot availability: these workflows are implemented as agent recipes and use the supported execution tools. Each full workflow still needs a pilot in the connected company account. View workflow readiness. A verified Google Calendar action is recorded in pilot evidence.

Give it a real job.

Start with one piece of work you want off your plate.

Meet your Daywing ↗