AI Native

Let your agent work from real user feedback.

Gleam gives coding agents the context behind the request: feedback, requester details, roadmap status, and follow-up work. MCP tools and Gleam Skills let Cursor, Codex, and Claude Code use that context from your editor.

gleam.agent / feedback-to-code
Live signal

The agent starts from the user signal.

Gleam turns feedback, requester context, and status changes into structured context your coding agent can read.

Offline votes disappear after relaunch

76 votes · 7 linked reports

Crash reports need automatic device context

3 affected builds

Agent handoff
Context loaded
01gleam.mcp.searchFeedback({ productArea: "iOS SDK" })
02gleam.mcp.readDiscussion({ includeRequesterContext: true })

Improve feature

Code changes use the original request as context.

Prepare follow-up

Status, reply, update, and affected users stay in sync.

Notify users

People attached to the request are ready for follow-up.

MCP and Skills

Give your coding agent the product context it is missing.

Agents can move quickly when the customer signal is clear. Gleam MCP tools expose that signal, and Gleam Skills give your agent repeatable steps for triage, implementation, replies, and status updates.

MCP tools for feedback

Let agents read feedback, requester context, comments, votes, roadmap links, and status changes through MCP.

Gleam Skills for implementation

Give Cursor, Codex, and Claude Code the product rules they need before they triage or change a feature.

Agent-led user follow-up

After the work is done, update status, draft the user reply, prepare the changelog, and keep affected users ready to notify.

Agent scenario

Fix, ship, and prepare the user follow-up from your editor.

Start with the matching feedback. The agent reads the affected users and requested behavior, follows the Gleam Skill, patches the code, drafts the changelog, updates status, and prepares replies for the people who asked.

See feedback workflow

See the user signal

New feedback, comments, votes, and related user details stay close to the work.

Load the context

The agent uses MCP to read the original request, related feedback, requester context, status history, and acceptance notes.

Make the change

It follows the Gleam Skill and changes the product behavior with the original request in view.

Prepare the follow-up

When the fix is ready, the agent updates status, drafts the reply, and keeps affected users ready to notify.

Best practices

Make feedback easy for agents to trust.

Keep the workflow simple, explicit, and close to the work your team is already shipping. That gives your agent enough context to help without guessing.

Keep statuses simple: New, Planned, In progress, Shipped, Closed.

Merge duplicates before assigning work so the agent sees one source of truth.

Use tags for product areas, platforms, and customer impact instead of long freeform notes.

Let agents draft user-facing replies, then keep human review for sensitive or high-stakes messages.

Attach shipped updates to the original feedback so every requester can be notified.

Keep MCP actions simple: read, reason, change code, update Gleam, prepare follow-up.

Start with structured feedback

Then let your agent prepare the follow-up.

Start using Gleam