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Odoomine Private preview

AI-assisted Odoo engineering, with a human in the approval path.

Odoomine takes a ticket, reads the logs and the code, proposes a change as a reviewable pull request, and runs it through your test suite on staging. An engineer approves before anything reaches production.

The workflow

Ticket to release, with one required stop

Every stage produces an artefact a person can inspect: an analysis, a diff, a test run, an approval, a release, a health check. Nothing is inferred from a black box.

engineering workflow · human review is a required gate
Ticketreport or request
Analyzelogs · traces · data
Proposed fixpull request
TestCI on staging
Human reviewrequired approval
Deployment platformexecutes the approval
Productionreleased
Monitorpost-deploy checks
Roll back releaseif checks fail

What a ticket looks like on the way through

A barcode scan failing on repair orders, reported by a warehouse supervisor at 07:40. The engineer's first involvement is reviewing a proposed diff with a green test run attached.

ticket #4821 · barcode scan fails on repair orders
Analysis complete Traced to barcode handler on repair.order · 3 log matches
Fix proposed Pull request · 2 files changed · reasoning attached
Tests passed on staging Build #142 · 214 tests · staging cloned from production
Awaiting engineer approval Blocked until reviewed · cannot deploy itself
Capabilities

What Odoomine does at each stage

Ticket analysis
Reads the report, classifies it, and states what it believes is happening and which records or modules are involved.
Log analysis
Correlates the report against Odoo server logs, tracebacks, and request timing around the reported window.
Code investigation
Locates the responsible model, view, or controller across standard Odoo, OdooNex Apps, and your own addons.
Suggested fixes
Proposes a concrete change with the reasoning behind it, including cases where the right answer is configuration rather than code.
Pull request generation
Opens the change against your repository on a branch, so review happens in the tools your team already uses.
Automated test execution
Runs Odoo's test runner and your own suites, and reports failures against the proposal rather than hiding them.
Staging deployment
Deploys the proposal to a staging environment cloned from production so behaviour can be checked against real data.
Human approval
A named engineer approves or rejects. This step cannot be skipped, delegated to the model, or configured away.
CI/CD integration
Works through the OdooTube release pipeline, or triggers your existing CI system where you already have one.
Production deployment
Once approved, the deployment platform — not the agent — releases the change, with health checks attached.
Application rollback
Roll back the application release to the previous known-good version. Pre-deployment database backups are retained for recovery when an incompatible schema or data migration requires database restoration.
Audit history
The full chain — request, analysis, diff, tests, approver, release, outcome — retained per change.
Security controls

The controls are the product

An assistant that can edit production is a liability. The value of Odoomine is that its access, its outputs, and its authority are bounded and observable.

who holds which credentials
Odoomine agent
Read: logs & codeanalysis input
Write: a branchpull request only
Stagingtest environments
Productionno credentials
authorised engineer
Reviews the diffand the test run
Approves the releaserecorded by name
deployment platform · holds the production credentials
Executes the approvalrelease revision
Health checkspost-deploy gate
Release rollbackprevious revision

No production credentials

Odoomine itself does not hold production write credentials. After an authorised engineer approves a release, the controlled deployment platform executes the approved deployment. The agent works against your repository and staging environments only.

Approval by a named person

Deployment requires an identified engineer's approval, recorded against the change. There is no automatic-merge mode.

Scoped repository access

Branch-level access to the repositories you nominate, with proposals raised as pull requests rather than pushed to your main branch.

Data handling boundaries

Which environments and data an analysis may touch is configured per customer, including deployments where production data must not leave your infrastructure.

Reversible by design

An Odoomine-originated release rolls back exactly like any other OdooTube release: the application returns to the previous known-good revision. Database restoration stays a separate authorised action.

Observable, not opaque

Each stage leaves an artefact — analysis, diff, test output, approval, release record — so a reviewer can reconstruct the decision.

Audit history

A record an assessor can follow

For customers in regulated programmes, an AI-assisted change is only acceptable if it leaves a stronger trail than a manual one. That is the standard Odoomine is built to.

Who reported the issue, and when What the analysis concluded, and from which evidence The exact diff proposed, against which commit Which tests ran, and their results Which engineer approved, and when Which release carried it to production Post-deploy check outcomes, and any rollback
What it will not do

Stated plainly, so nobody has to guess

It will not modify production autonomously

No configuration makes human approval optional.

It will not replace your engineers

It removes the investigation time before a fix, not the judgement about whether the fix is right.

It will not always be correct

Proposals are reviewed because some of them are wrong. The tests and the reviewer exist for exactly that reason.

Private preview

Odoomine is in private preview

We are onboarding a small number of customers whose Odoo already runs on OdooTube, so the release pipeline and rollback path are in place. Tell us about your environment and the support load you are trying to reduce.