REPOSITORY ISSUE / CONTRIBUTION / RELEASE MILESTONE

AI agent for open-source project maintainers

Keep contributors moving and releases dependable.

Triage community work, review and improve contributions and publish maintained releases—carried through by an autonomous AI agent that adapts to your work.

A specialised AI agent you can ask for more. Chat here on the site.
$249.00/month, including $50.00 in monthly credits. Monthly subscription. Before tax.

Specialised AI agentYour own report presetNo connection needed to begin
Repository issue workbenchSPECIALIST / 1048
Publish maintained releases. With the source records attached.ILLUSTRATIVE STUDY
YOUR SPECIALISED AI AGENT

One place for triage community work, review and improve contributions, publish maintained releases.

MADE FOR YOUR WORKDAY

Start with work already on your desk

Your first useful assignment.

Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.

Get my AI agent →
YOU COULD ASK
“Prepare the next release: reproduce the oldest bugs, finish compatible contributions and publish release notes with migration guidance.”
  • Triage community work
  • Review and improve contributions
  • Publish maintained releases

A useful first result
An editable repository issue and release milestone register with traceable references, resolved discrepancies and specific next actions.

Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.

A conversation at your desk

Prepare the next release: reproduce the oldest bugs, finish compatible contributions and publish release notes with migration guidance.

This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.

Illustrative project · configured agent at work

A configured agent with your repository issue, contribution, release milestone records, current commitments and the connected accounts used to review and improve contributions.

  • Triage community work
  • Review and improve contributions
  • Publish maintained releases

A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.

  1. You · Open-source project maintainers

    Prepare the next release: reproduce the oldest bugs, finish compatible contributions and publish release notes with migration guidance.

  2. Your AI agent · AI Agent Store

    Two pull requests solve the same issue differently. I am comparing behaviour and consolidating the compatible parts with attribution.

    Work in progress
  3. You · Open-source project maintainers

    Keep the documented compatibility policy and credit the contributors in the release notes.

  4. Your AI agent · AI Agent Store

    The release has tested fixes, reconciled contributions and migration guidance. Deferred issues have reproducible descriptions and clear next steps. Your working files and dashboard reflect the recorded outcomes.

    Later · delivery and saved results

The details your specialist follows

Working records for open-source project maintainers

Follow each repository issue through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.

Keep an eye on: changes in contribution, missing release milestone evidence and unresolved repository issue dependencies.

Illustrative working document · your records start empty

Repository issueDependency to followEvidence of completion
OPPORTUNITY022-104Triage community workCommunity issues resolved
OPPORTUNITY022-118Review and improve contributionsContributions merged
OPPORTUNITY022-126Publish maintained releasesRelease milestones met
Active repository issue records3
Review checks across the planned work100 review checks
Outcomes with supporting evidence2

Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.

REPOSITORY ISSUE / CONTRIBUTION / RELEASE MILESTONE

A working brief for your AI agent.

Use repository conventions, issue reproductions, contributor context and release evidence. Carry useful work through implementation, documentation and communication while preserving contributor credit and project decisions. Your specialist maintains these working records in regular Teams as the assignment develops.

AI

Your AI agentPrepared for open-source project maintainers

Repository issue and release milestone registerEXAMPLE, NOT LIVE ACTIVITY

An example record for repository issue, contribution, release milestone, review checks.

01Repository issue02Contribution03Release milestone

The useful next step

Triage community work

Triage community work using the current repository issue and its supporting records.

Built around the details that matter

Triage community work. With the right questions already in mind.

Maintainers serving an open-source community, distinct from client software agencies and commercial plugin publishers.

01

Triage community work

Triage community work using the current repository issue and its supporting records.

02

Review and improve contributions

Review and improve contributions while keeping contribution changes traceable.

03

Publish maintained releases

Publish maintained releases with checked release milestone evidence and editable working files.

A small tool for a real job

Review checks across the planned work. Before the back-and-forth.

Watch for changes in contribution, missing release milestone evidence and unresolved repository issue dependencies. Investigate the cause, carry useful follow-through to completion and improve the saved method when it helps.

Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.

  • Repository issue
  • Contribution
  • Release milestone
  • Review checks

Try your own numbers

Review checks across the planned work

100review checks across the planned work

Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.

From enquiry to a useful next step

Repository issue and release milestone register. Your way of working.

01

Brief and source records received

Add a job reference and the details you already know.

02

Triage community work

Repository issue and Contribution, ready to check.

03

Review and improve contributions

Give your specialist the outcome and let it carry the work forward.

04

Outcome evidence verified

Keep working records in Files and Tasks.

05

Publish maintained releases

Keep the job and its next steps together.

Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.

Prepared for your business

The numbers behind your ai agent for open-source project maintainers.

Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.

01

Recorded cases · outcomes

Project releases published

What this measures

Count one distinct observed outcome for “Project releases published”, linked to its repository issue and stable completion-event ID. Use the real completion timestamp and supporting release milestone reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

02

Recorded cases · outcomes

Community issues resolved

What this measures

Count one distinct observed outcome for “Community issues resolved”, linked to its repository issue and stable completion-event ID. Use the real completion timestamp and supporting release milestone reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

03

Recorded cases · outcomes

Contributions merged

What this measures

Count one distinct observed outcome for “Contributions merged”, linked to its repository issue and stable completion-event ID. Use the real completion timestamp and supporting release milestone reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

04

Average · hours

Ready contribution to merged outcome

What this measures

Measure “Ready contribution to merged outcome” in elapsed hours using the actual start and end timestamps for the same repository issue. Store one duration per completed observation with source references and timezone. Exclude pending cases, missing timestamps, reversed intervals and illustrative values. Never substitute a current status or sum recurring snapshots.

05

Observed rate · %

Release milestones met

What this measures

Completed commitments assessed for “Release milestones met”, linked to stable repository issue references. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Compare actual completion with the original agreed deadline and timezone; never move the deadline to improve the result. Corrections replace the original event instead of counting twice.

06

Observed rate · %

Release regression checks passed

What this measures

Completed assessments for “Release regression checks passed”, linked to stable repository issue references. Numerator: passed; denominator: passed plus failed from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Apply the documented requirement or acceptance checklist and retain the actual supporting evidence; do not infer a pass from an administrative status. Corrections replace the original event instead of counting twice.

Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.

Keep the tools that already work

Specialised in your trade. Open to your next idea.

Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.

An AI agent prepared for your business

The starting instructions, intake questions and working rules already match open-source project maintainers. Add your service list and one example of your tone when you are ready.

Give your agent the whole job

Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.

Ask beyond the starting workflows

Your agent can take on a new assignment, build a new workflow, improve its saved methods and adapt its dashboard as your needs evolve. The starting examples do not limit its capabilities. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.

Recommended starting plan

Your AI agent for open-source project maintainers.

Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.

$249.00/month

Capacity for 1 running agent · hosting throughout the month

Start my AI agent →

A clear starting total

Your Agent plan is $199/month with hosting included. This recommended offer adds $50 in monthly Platform Credit funding, for $249/month.

$249.00 before tax today and monthly, including $50.00 in monthly Platform Credit funding.

Credits offer an easy start and unused credits roll over. You can switch to your own subscriptions or API keys anytime, with no Platform Credits needed for that AI work. Hosting is included within your agent’s resource allocation. Optional voice and other services use credits.

Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.

Other plans and connection options →

Prefer your own AI accounts? Choose a plan without the extra $50 monthly credit funding using the options above. Changing AI access alone does not remove that funding. Automatic top-ups start off; buy credits or set top-ups and spending limits when needed. Keep the full Teams controls for models, connections and supported settings.

Before you begin

An AI agent for open-source project maintainers.

How does the agent keep repository issue work accurate?

Use repository conventions, issue reproductions, contributor context and release evidence. Carry useful work through implementation, documentation and communication while preserving contributor credit and project decisions. It keeps source references with the working files, checks the result and follows up on discrepancies. Ask it to adjust the method or report whenever your needs change.

Is this only for the three tasks shown?

No. This is an AI agent specialised for open-source project maintainers, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.

What happens after I subscribe?

After payment, we prepare your AI agent for open-source project maintainers, its workflows and your repository issue and release milestone register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.

Do I need to connect email or messaging?

No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.

Does this replace my existing business software?

Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.