Prelint vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Prelint and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Prelint
Prelint
AI reviewer that checks every pull request against your ADRs, docs and past decisions to catch product drift before it ships.
Key features
- Context-Aware Review: Reviews each PR against your ADRs, product docs and past decisions instead of only linting style or syntax.
- Product Drift Detection: Flags conflicts, gaps and drift between the PR's intent and your product context inline in the diff.
- Agent Self-Correction: The Prelint agent can self-correct against detected violations before a human reviewer opens the PR.
- GitHub & GitLab Integration: Runs on both major hosted git platforms with native PR/MR integration.
- Isolated Infrastructure: Every organization runs on isolated per-organization infrastructure and Prelint does not train on customer code.
- Usage-Based Pricing: $1 per completed review with $10 in free credits, no seats or subscription.
Best for
- AI-Written PR Triage: A team using coding agents like Copilot or Claude Code lets Prelint gate agent PRs against product intent before humans look.
- Architecture Enforcement: A platform team encodes architecture decisions in ADRs and uses Prelint to catch PRs that violate them.
- Onboarding Safety Net: A new engineer's early PRs get reviewed against product context they haven't fully internalized yet.
- Open Source Maintenance: A maintainer of a public repo enables Prelint (free for OSS) to review incoming contributions for product fit.
- Cost-Controlled Review: A startup wants automated review without paying per developer seat and pays $1 per PR instead.
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning