AI ships code at 3 a.m. Reading all of it is still a human job. DevHive is a PR governance gate that makes a human accountable for AI-authored changes — your rules decide what gets held for review. A human approves — and that approval is bound to the exact code, so changing one line voids it. Every decision seals into a record that can't be forged.
AI raised the speed of writing. The exit is still a single door — human review and approval. The queue in front of it keeps growing.
Opens a PR touching the payments module. 1,204 lines added.
The payments path hits a lock rule. The merge is held and compliance is notified.
Comes in and sees only the held change. One line moved the transfer limit ×10 — not approved.
From the block to the rejection, the whole decision is sealed into a tamper-evident record.
Only the risky changes reach the decision maker — with the reasons they were held and what to verify.
The gate stands only where a human hand is needed. Everything else flows, with its reason on record.
No digging through history for audits or incidents. Pull the sealed chain — it proves itself.
From install to audit record — four screens, that's the product.
Install the GitHub App and every PR touching a locked path goes through the gate. DevHive never writes or edits code.
Create lock rules in settings. Replay each rule against the last 90 days before turning it on, then raise it shadow → notify → enforce.
The approval console collects only the risky changes. What was held, which rule caught it, and what to check — on one screen.
Every decision seals into a hash-chained record. The JSON export alone verifies, and approval lead time lands on the dashboard.
Put a lock on files like payment rates or auth settings. Any change that touches them stops at merge, notifies the owner, and passes only with a designated person's approval.
The approval stamp goes on the code itself, not on paperwork. If a single line changes after approval, the approval is void and must be given again on the new code.
If a tool wrote it and a tool approved it, it does not ship. DevHive enforces an accountable human approval.
A new rule starts in shadow, recording verdicts without blocking anything. After reviewing the records you raise it to notify, then enforce. One rule can never halt the whole organization.
Changes that pass automatically still record why they were safe. You can verify it later from the records alone.
Before saving a rule, replay it against the last 90 days of PR history and see what it would have held. The result is labeled for what it is — potential gates, not incidents, not a business case.
The approval console shows the decision maker only what matters: what was held, which rule caught it, and what to verify. Approval lead time lands on the dashboard.
"Working today" means verified by automated tests. Live measurements come with the pilot.
Built in order, on top of what already works.
Exactly what you saw above. It guards locked files, binds approvals to the code, and seals decisions into records.
Lock coverage, bypass attempts, and approval lead time, aggregated weekly. The formula is fixed — recompute it any time and you get the same numbers.
Fixing a blocked change is the job of your tools and agents. DevHive hands over what was caught and why, then judges the fixed change again when it returns. It never touches your code.
Roll a single lock policy across an organization's whole fleet of repos, and govern them as one — not repo by repo.
The gate runs on rules you own, not a model's judgment you rent. Same input, same verdict — reproducible in front of an audit, every time.
Authors and approvers are kept separate. A rule-matched change does not ship without a human approval.
Every verdict and approval is hash-linked to the previous record. Alter one and the chain verification fails.
We're taking a small number of teams into early pilots — teams whose code is expensive to get wrong: payments, auth, permissions, data paths. Point the gate at your locked files and run it on your real PRs. The lock gate and fingerprint-bound approval work today; your pilot produces the first live numbers.
We reach out to teams in the order they apply.