Show HN: I build a tool to encourage before reviewing code, review intents
Mainline is a new tool designed to enhance code review processes by focusing on reviewing the intent behind code changes. It provides a memory layer that captures important context and decisions made prior to code edits, which is crucial in a landscape where AI agents generate code quickly. By making intent reviewable before code review, Mainline aims to prevent issues that arise from misunderstanding the rationale behind changes.
- ▪Mainline records the intent behind engineering work, capturing user goals, decisions, and constraints.
- ▪The tool aims to address challenges posed by coding agents that produce large diffs quickly, making it hard to infer intent from the final code alone.
- ▪Mainline is not a replacement for Git or traditional code review systems, but rather a supplementary memory layer that travels with the code.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/mainline-org/mainline |
| Publication time | Sat, 23 May 2026 13:54:33 +0000 |
| Retrieval time | 2026-05-23T14:07:26.892Z |
| Last seen | 2026-05-23T14:07:26.892Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | OhX4VH5-3RmR |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Mainline Website: https://mainline.sh Hosted Hub: https://mainline.sh/hub/ Detailed reference: docs/reference.md 中文版本: README.zh.md We have code review. Now we need intent review. Mainline is a Git-native memory layer for coding agents. It gives agents and reviewers repo memory before the diff: prior decisions, constraints, abandoned approaches, validation notes, and related in-flight work. AI agents make code cheap to produce and harder to review. Mainline makes the intent reviewable before the generated code lands. Review the intent before you review the code. The Problem Code review was built for a world where humans wrote most of the code. The diff was expensive, so it was usually small enough for reviewers to infer the intent. Agent work changes that.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.