The onboarding bottleneck
New developer productivity follows a predictable curve. In the first 2–4 weeks, they’re learning the codebase. In weeks 4–8, they’re contributing small changes with heavy review guidance. By week 8–12, they’re autonomous for most tasks. The biggest bottleneck in this curve isn’t comprehension — it’s feedback latency. When a new developer writes code that violates a convention, the feedback loop looks like this:- Developer writes code → opens PR
- Reviewer notices violation → leaves comment (hours to days later)
- Developer reads comment → makes change
- Reviewer re-reviews → possibly finds more issues
- Repeat until approved
How Autter accelerates onboarding
Autter provides immediate, consistent, contextual feedback on every convention, pattern, and anti-pattern in your codebase. For new developers, this changes the feedback loop entirely.Instant feedback, zero waiting
A new developer opens a PR and gets Autter’s review within 90 seconds:Learning through examples
Autter doesn’t just tell developers what’s wrong — it shows them examples from your actual codebase:Pattern: In this codebase, database queries in services always use the repository pattern. Your code:This is the kind of context that takes weeks to absorb through documentation alone. With Autter, it’s delivered in context, at the exact moment the developer needs it.Codebase convention (seesrc/services/order-service.ts:28):Why: Repository methods include audit logging, caching, and soft-delete filtering that raw queries bypass.
Progressive complexity
Autter adapts its feedback density based on the developer’s history with the codebase. In the first weeks, it explains conventions in detail with examples. As the developer demonstrates mastery of a pattern — by no longer violating it — Autter reduces the verbosity:| Developer experience | Autter feedback style |
|---|---|
| First 2 weeks | Detailed explanations with codebase examples |
| Weeks 2–6 | Concise flags with links to examples |
| Weeks 6+ | Minimal — only flags, no explanation needed |
Impact on onboarding metrics
| Metric | Without Autter | With Autter |
|---|---|---|
| Time to first merged PR | 5–8 days | 2–3 days |
| Review cycles on first 10 PRs | 3.2 avg | 1.4 avg |
| Convention violations at week 4 | 8–12 per PR | 1–2 per PR |
| Time to autonomous contributor | 8–12 weeks | 4–6 weeks |
| Senior engineer time on onboarding reviews | ~10 hrs/week | ~3 hrs/week |
Convention catalogue
Autter maintains a living catalogue of your codebase’s conventions — derived from your merge history, not from documentation that might be outdated. New developers can browse it at any time:What senior engineers gain back
With Autter handling convention enforcement on every PR, senior engineers stop spending review time on repetitive feedback and focus on the decisions that actually require their expertise:- Architecture and API design
- Edge cases the tests don’t cover
- Operational behaviour under load
- Alignment with the team’s technical roadmap
Getting started
Connect your repository
Install the GitHub App or GitLab integration if you haven’t already. Autter will start reviewing PRs immediately.
Learn your conventions
Run
npx autter init --learn to build a convention model from your merge history. Autter analyses your last merged PRs and detects the patterns your team already follows.Export a conventions reference
Generate a Markdown document from the detected conventions for your onboarding materials.
Next steps
Custom Rules
Define explicit rules to enforce conventions that Autter hasn’t detected automatically.
Code Review
Learn how Autter builds codebase awareness and learns from your team’s review patterns.
GitHub Setup
Connect Autter to GitHub if you haven’t already.
GitLab Setup
Connect Autter to GitLab if you haven’t already.
