The AI reasoning layer for your Pull Requests.
Automatically evaluate the business logic, blast radius, and user impact of every change before you merge.
We review every request personally.
GitHub
Jira
Linear
Intercom
Dovetail
PostHog
Amplitude
Confluence
Notion
Slack notifications/ automatically evaluates your PRs against six dimensions • invite reviewers to your Hilma evaluation for sign off • auto merge small changes with low blast radius and high reversibility (coming soon)
AI agents ship code faster than your team can review it. Hilma eliminates the PR bottleneck by automating context gathering and impact analysis.
Reviewers can't keep up.
AI agents and AI-assisted developers are filling the PR queue with diffs that no single reviewer can absorb at the speed they arrive.
PRs encode business logic, not just syntax.
An auth flow change isn't just a UX decision — it's a security risk. Hilma analyses product, business, and technical reasoning so reviewers don't have to piece it together.
Routing is the real problem.
The right reviewer depends on the change. Code review tools weren't built for this.
Hilma automatically pulls the context from your connected business tools.
01 Gather Context
Reads the diff, links the Jira ticket, and analyzes historical surface metrics. True context, not just lines of code.
02 Quantify Risk
Evaluates the change across six core business and technical dimensions, citing exact documentation signals.
03 Route & Recommend
Suggests an explicit action — ship, route to a specific domain expert, or hold with precise questions.
/ connect your existing business tools
Automated analysis you can actually trust.
Hilma doesn't just guess. Every verdict, risk score, and routing recommendation is directly cited from your existing tickets, specs, and engineering guidelines.
The six dimensions. Every change is reasoned against six dimensions that matter to real product decisions.
User value
Does this address a real, evidenced user pain? Or is it speculative?
/Cites specific support themes, ticket counts, qualitative research.
Business impact
Does this align with current priorities? Direct hit, indirect, or off-roadmap?
/Cites active project goals and stated quarterly priorities.
Product impact
Scope of behavioural change. Not lines of code, what actually shifts for the user.
/Distinguishes copy tweaks from flow changes from data model changes.
Blast radius
If this breaks, how much breaks with it? Local, surface-wide, or cross-cutting?
/Reads file paths, sensitivity labels, and downstream dependencies.
Reversibility
Can this be rolled back cleanly? A commit revert, a data migration, or a user-visible change?
/Distinguishes pure code changes from migrations and stateful changes.
Pacing
How much change has this specific system surface absorbed recently? Protect your users from feature fatigue and unexpected regressions.
/Counts recent merges to the same surface in the last 30 days.
Auto-merge with confidence.
CI proves the code compiles. Hilma proves the business logic is sound. Define your policy rules, and let Hilma handle the routine merges automatically.
/ Fully configurable: You define exactly which risk levels qualify for auto-merge.
A thinking partner, not a gate. Hilma uncovers the critical context, structural risks, and localized nuances that a senior teammate would raise during a manual review.
Localisation review
This change affects copy on the global pricing page. French and German versions may need separate copy decisions before this ships everywhere.
Owner / Localisation
Auth surface change
The diff touches the sign-in flow. Auth changes are often subject to security and compliance review — has security signed off?
Owner / Security
Change fatigue
Three changes have hit the onboarding flow in the last 30 days. Consider whether users have absorbed the previous ones before adding another.
Owner / Product
Integrations. Built to read what your team already writes.
- GitHub OAuth
- GitHub App
- Linear
- Jira
- PostHog
- Amplitude
- Intercom
- Dovetail
- Notion
- Confluence
- Slack
/
- Slack for communication context
- •Teams for communication context
- •Maze for qualitative insights
- •Google Workspace
- •Manual file upload for one-off context
/
- •Auto-merge PRs
- •Custom policy rules
- •Team accounts
- •Outcome tracking
/
Enterprise-grade privacy. Zero model training.
Your codebase is your competitive advantage. Hilma processes your diffs via zero-data-retention enterprise APIs, discards them immediately after scoring, and never uses your code to train AI models.
Least-privilege repository access
Stateless processing (diffs discarded after scoring)
Strict per-user data isolation
Encrypted at rest and in transit
Secure OAuth authentication (No passwords stored)
Full invocation history for every evaluation
Built on SOC 2 certified infrastructure — Supabase, Vercel, Anthropic, and Clerk are all SOC 2 Type II certified.
Questions, answered.
The things teams ask us most before getting started.
No. Hilma processes your diffs through zero-data-retention enterprise APIs and discards them immediately after scoring. We keep the evaluation — scores and reasoning — never your code.
Join Hilma today
We review every request personally.