Core Engine

From job to shipped code.
With you in the loop.

10+ workflow templates — feature development, bug fixes, security audits, migrations, incident response, and more. Each follows a DAG-based pipeline with human approval gates, staged execution, and quality verification.

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JOB

FEATURE

auth-system

decompose
code-ts DONE

auth middleware

test-vitest DONE

auth.test.ts

security-scan DONE

OWASP audit

3/3 RESOLVED

docs-writer RUN...

API reference

review-expert RUN...

code quality

2 RUNNING IN PARALLEL

COMBINATOR

artifacts: 7 files

0 conflicts

MR / DEPLOY

#proj-1847

READY

DONE ACTIVE WAITING parallel within each stage
Job decomposed — one feature job fans out into parallel mini-jobs per stage
Stages execute in order — mini-jobs run in parallel within each stage, serial between stages
Combinator merges artifacts — file changes from all mini-jobs combine into a single MR

How the job pipeline works

1

Job Intake

From Jira, Slack, or the dashboard — describe the work.

2

Enrich & Decompose

AI clarifies requirements and splits work into a DAG of mini-jobs.

3

Human Approval

You review the decomposition and expert assignments before execution.

4

Staged Execution

Mini-jobs run in parallel within stages, with artifact isolation.

5

Quality Gate & Delivery

Combined output verified, then a merge request lands in your repo.

Built-in safety at every stage

DAG-Based Orchestration

Jobs decompose into mini-job DAGs — expert agents execute in parallel stages.

Event-Driven Triggers

Start workflows from GitLab MRs, Jira tickets, Slack messages, or cron schedules.

Crash Recovery

Temporal.io ensures workflows resume exactly where they left off after failures.

Cost Tracking

Token usage and cost tracked per job and mini-job. Know what each piece of work costs.

See the pipeline in action

Request access and we'll show you a live job flowing through the pipeline.

Request Early Access