Deep codebase intelligence

Not just reading commit messages.
Reading your entire codebase.

Most AI changelog tools summarize your git log. NoteshipAI scans your full repository, reads actual code in every diff, and cross-references both to generate docs that are genuinely accurate.

How it works

Four phases. Full context.

Every generation runs all four phases — so what you get is always grounded in your actual codebase, not just your commit history.

01

Codebase Scan

Understands your project before reading a single commit

NoteshipAI starts by mapping your entire repository — file tree, package.json, config files, and key source files. It learns your tech stack, architecture patterns, and project structure before touching any diff.

  • Reads package.json, tsconfig, Dockerfile, and dependency manifests
  • Maps file structure to understand which modules exist
  • Identifies frameworks, libraries, and architecture patterns
  • Builds project context used for every subsequent step
02

Deep Diff Reading

Opens every changed file — reads actual code, not filenames

For each commit in your selection, NoteshipAI fetches the full diff and opens every modified file. It reads the actual code additions and deletions — not just commit messages or filenames — to understand exactly what changed.

  • Fetches and parses full unified diffs per commit
  • Reads added/removed code in each changed file
  • Understands function signatures, API changes, and data model shifts
  • Detects patterns like new endpoints, schema changes, and config updates
03

Context Mapping

Connects diff changes back to your codebase architecture

With your project context and the raw diff in hand, NoteshipAI cross-references both to determine the real impact of each change. A new file in /api/v2 means something different than a new file in /utils — and NoteshipAI knows it.

  • Maps changed files to their role in the project structure
  • Groups related changes across multiple commits into single features
  • Identifies whether a change is user-facing, internal, or infrastructure
  • Infers business-level impact from low-level code changes
04

Precision Generation

Writes docs that reflect what actually changed — not what was committed

With full codebase context and deep diff understanding, NoteshipAI generates changelogs and READMEs that are accurate, well-grouped, and written for your audience — in your preferred format and tone.

  • Groups changes by real features, not arbitrary commit boundaries
  • Writes in your chosen tone — friendly, technical, or marketing
  • Outputs in GitHub Releases, Keep a Changelog, or simple list format
  • README reflects your actual stack, commands, and project structure

What you get

Two outputs. Both context-aware.

The same deep codebase intelligence powers both tools — changelogs and READMEs.

3 credits

Changelog Generator

Turn selected commits into structured release notes. Reads diffs, groups changes by impact, and writes entries that make sense to users and developers alike.

  • Select any range of commits
  • Friendly, Technical, or Marketing tone
  • GitHub Releases, Keep a Changelog, or Simple list
  • Copy as markdown or download
7 credits

README Generator

Scans your file tree and dependency manifests to produce a complete README — setup guide, tech stack, usage examples, and project structure — without any templates or blank-page anxiety.

  • Tech stack inferred from real dependencies
  • Real commands from your actual package.json
  • Environment variables detected from config files
  • Badges, getting started, and contributing sections
vs. typical AI tools

"Summarize commits" vs. "understand your codebase"

Other tools

  • Reads only commit messages
  • No understanding of file structure
  • Misses context of what code does
  • Generic, templated output

NoteshipAI

  • Reads actual code in every changed file
  • Understands full project structure first
  • Maps code changes to product impact
  • Accurate, grouped by real features
Try it free — no sign-up needed