AIMAKE FOR ENGINEERING TEAMS
Give engineers and coding agents the context behind the work.
AIMake connects product decisions, engineering tasks, AI agents, pull requests, tests, and production proof.
THE CURRENT PROBLEM
Engineers are asked to implement tickets that contain the request but not the reasoning. Coding agents get even less context and produce work that is difficult to review.
WITH AIMAKE
Every task starts with the intended outcome, constraints, and proof requirements. Humans and agents can work from the same source.
THE AIMAKE SURFACES
Built around the work engineering teams already own.
These are product surfaces available in AIMake today—not a future-role checklist or a generic AI wrapper.
My Workspace
01
Start with the current task, not another dashboard
AIMake selects the highest-leverage task or blocker and brings its win, role, owner, queue position, and next action into one focused surface.
One concrete contribution at a time
Task Pages
02
Give humans and agents an execution-ready brief
Each task can carry a workstream, actor, description, proof requirements, task chat, file uploads, and links back to its Product win.
Human judgment and agent work stay explicit
GitHub + Pull Requests
03
Read delivery state from the repository
Connected PRs expose review activity, CI status, merge blockers, and readiness alongside the Product work the code is meant to deliver.
Ready / needs review / blocked
MCP + Observability
04
Connect coding agents and production proof
Use AIMake from Claude Code, Cursor, or another MCP client, then attach metrics, alarms, dashboards, logs, and runbooks to the shipped outcome.
Repository context in; production evidence back
HOW THE WORK CHANGES
A focused workflow for engineering teams.
01
Start with the why
Read the product decision, customer signal, acceptance criteria, and known constraints before changing code.
Decision context beside the task
02
Coordinate humans and agents
Separate implementation work from the approvals and judgment calls that still need a person.
Clear ownership at task level
03
Prove the change landed
Attach PRs, tests, screenshots, logs, metrics, alarms, and runbooks to the outcome they verify.
Evidence instead of status
EXAMPLE: RELEASE A RISKY AUTH CHANGE
The engineer and coding agent work from the same why.
AIMake keeps the decision boundary clear while GitHub and production systems remain the source of delivery proof.
01 → 04
01
Context
The task opens with the outcome
Acceptance criteria, known constraints, customer impact, and proof requirements are already present.
02
Build
Human and agent work is separated
Implementation goes to the coding agent; approvals and judgment calls remain human actions.
03
Review
GitHub reports readiness
The PR shows checks, reviews, conflicts, and whether the linked Product work is ready to roll out.
04
Operate
Telemetry proves the change
Logs, metrics, alarms, and a runbook stay attached to the outcome they verify.
THE HANDOFF
Engineering receives a decision, not a mystery.
When implementation changes the plan, the tradeoff stays with the work. Product sees what shipped and support can trace customer impact back to the change.
WORKS ACROSS THE COMPANY
The same context, seen from the next job.
Build from shared context.
Give every team and agent the decisions, signals, and proof behind the work.
Start with AIMake