ABE — Autonomous Backlog Engine

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MCS × ABE · Authorized reseller & delivery partner

Private beta

Your backlog, worked overnight and proven before review.

ABE — the Autonomous Backlog Engine — reproduces a ticket, writes the smallest fix, tries to break it, proves it, and applies your policy before an engineer spends a minute on it. MCS licenses it to you and does the work of making it fit your codebase.

Request a pilot through MCSrunabe.ai

Six stages. Two of them argue.

Four stages are deterministic platform work. Two are AI agents with opposed jobs — a Maker that writes the smallest fix, and a Breaker on a different model family whose only job is to break it. One model grading its own work is not a review.

01Platform

Scout

Reads the ticket, finds the owning code, checks for duplicates and fixes that already exist.

02Platform

Repro

Reproduces the failure and encodes it as a failing test, graded so you know how strong the proof is.

03Agent

Maker

Writes the smallest fix that turns the test green, plus the tests that keep it green.

04Agent

Breaker

An independent reviewer on a different model family, whose only job is to break the fix.

05Platform

Proof

Runs the build and the suite and records the evidence. A narrative never counts as a pass.

06Platform

Gate

Applies your policy to the evidence: ship, review, or stop. Fails closed.

What ABE gives the reviewer

Every pull request carries its own proof, so nobody reconstructs a run from raw logs.

The reproduction, and how strong it is
The failing test, then the passing run
Every Breaker finding and how it was resolved
The proof ledger: build, tests, code health
The gate decision and the policy version behind it

What MCS does around it

The platform is the easy part. Fitting it to a real codebase and a real change-control process is the engagement.

Readiness review of the repositories and the backlog
Policy design: what may ship, what must be reviewed, what stops
Pipeline, test and environment work so the proof stage means something
Replay setup and the comparison against what actually shipped
Licensing through MCS, with one commercial relationship

Before you trust it, replay it.

A pilot starts with tickets your team already resolved. ABE works them without seeing the accepted fix, and you compare its pull requests with what actually shipped — before a single live ticket.

01

Pick the set

Resolved tickets from the last quarter, sensitive paths excluded.

02

ABE works them blind

Same pipeline, same Breaker, no access to the accepted solution.

03

Compare

Acceptance rate, Breaker catches, review minutes and cost per accepted change.

04

Decide the rung

The replay tells you where on the autonomy ladder to start.

Humans keep the merge button.

Autonomy is earned one rung at a time, and MCS is on the hook for every rung. Ask us for a replay of your own tickets.

Request a pilot