Submit Guard
A pre-submit linter for engineers that estimates how many minutes of reviewer time their PR description and review comments will cost, then rewrites them down to the shortest version that still holds.
engineers who ship multiple PRs per week and use AI assistants to draft
- Reader-time estimate of your PR description and outgoing review comments before submit
- Inline rewrites that trim em-dashes, duplicate context, and recap-padding in your own voice
- One-tap 'here is what changed and why' generator tailored to your team's conventions
- Personal style calibration that learns how you actually write so rewrites don't sound sterile
The Dev.to post explicitly calls out engineers pasting 1,430 characters of description for a one-line diff; authors need a guardrail before they hit submit, not a manager looking over their shoulder.
Multiple independent sources (LeadDev, The New Stack, Codacy, bswen, arXiv 2602.14611) document reviewer fatigue from verbose AI-generated PR descriptions and correlate description quality with review latency, confirming the pain is real and growing even if the original Dev.to post only has 3 reactions.PR reviews were already broken. AI made it worse ↗Open source maintainers are drowning in AI-generated pull requests ↗The Value of Effective Pull Request Description ↗
Existing AI PR tools (Graphite Agent, qa.tech, Sider, Codacy, GitHub Marketplace actions) focus on reviewing the code diff, not on shortening author-written description and comment text; the author-side 'pre-submit description linter' niche appears empty but sits adjacent to many well-funded incumbents.Top 5 AI PR Code Reviewers 2025 (1 Winner) ↗AI Code & PR Review - GitHub Marketplace ↗The 6 Best AI Code Review Tools for Pull Requests in 2025 ↗
No clear pricing anchor for a one-off pre-submit linter; PR-review SaaS sells at $15-30/seat/mo for ongoing work, but a 'shorten my description' check is a micro-task teams will expect bundled into Copilot/Cursor/GitHub or open-sourced, making standalone willingness-to-pay weak.PR Cycle Time Benchmarks: What Healthy Looks Like in 2026 ↗AI Code & PR Review - GitHub Marketplace ↗
The verbosity problem persists as long as AI drafts PR text, but the surface area is tiny and trivially absorbable by GitHub Copilot, IDEs, or existing PR-review platforms, threatening standalone durability.AI Is Breaking Code Review: How Engineering Teams Fix the PR Bottleneck ↗
Implementation is essentially a single LLM call estimating read time plus a rewrite prompt, deployable as a GitHub Action or pre-push hook in days; the source 'Return on Attention' post is itself a one-shot AI rewrite of an LLM output, proving the loop works.How to Automate PR Reviews with AI (Without Losing Context) ↗