Evidence-backed repository analysis

Turn a codebase into an interview-ready Candidate Brief.

Upload a repository zip or paste a public GitHub URL — RepoAtlas maps the structure, risk areas, run commands, and evidence-backed talking points without executing code or calling AI.

Analyze Repository

ZIP upload or public GitHub URL. Local-first static analysis. No code execution. No AI calls.

Candidate Briefevidence linked

repo-atlas

Read firstsrc/analyzer/index.tssrc/analyzer/scoring.tssrc/components/ReportTabs.tsx

ClaimEvery conclusion points back to repository evidence.source / path / signal

Upload a zip or paste a public GitHub URL.

Analyze a repository archive or a canonical public GitHub URL with deterministic static analysis across supported project types.

ZIP upload or public GitHub URLReads repository files onlyPublic repositories only4MB maximum zipAnalysis up to 2 minutes

Try RepoAtlas on common project types

RepoAtlas adapts the same evidence-first workflow to different repository shapes. These cards describe analysis coverage; they are not live fixture buttons.

TSX

Next.js app

Routes, components, imports, run commands, and likely entry points.

Analysis profile

Python API

Modules, endpoints, imports, tests, and detected launch commands.

Analysis profile

JVM

Java service

Packages, entry points, dependency edges, tests, and build commands.

Analysis profile

PKG

Monorepo

Workspace boundaries, package relationships, and cross-package signals.

Analysis profile

Docs-only repo

Documentation structure, contribution guidance, and available evidence.

Analysis profile

∅

No README repo

Source-led reading paths with explicit confidence gaps.

Analysis profile

Read your project like an interviewer would.

Move from orientation to defensible technical conversation without pretending the repository says more than it does.

Understand the structure

See the repository as systems and boundaries, not a flat file list.

Find the files to read first

Follow a ranked path based on entry points, imports, and repository signals.

Identify risky areas

Review structural hotspots without treating the score as a bug count.

Extract run and contribution commands

Collect commands and contribution cues already present in the repository.

Prepare technical talking points

Turn detected signals into specific prompts for an interview walkthrough.

Link every claim back to evidence

Trace conclusions to files, paths, snippets, and detected metadata.

From archive to evidence-backed brief

A deterministic pipeline keeps each stage inspectable and the final claims grounded.

Zip upload

Static analysis

Language packs

Scoring

Candidate Brief

Export / share

files onlyTS/JS, Python, Javastructural signalsPDF, PNG, Markdown, link

A brief built for the conversation after the code review.

RepoAtlas organizes what it can prove, what deserves attention, and where confidence is limited.

01Repo summary

02Reading path

03Walkthrough script

04Interview talking points

05First PR plan

06Resume / LinkedIn bullets

07Evidence index

08Confidence notes

Sample Repo

Preview the bundled read-only Candidate Brief before uploading your own repository. Open the full report to explore tabs, exports, and evidence-linked sections.

Candidate Briefsample

repo-atlas

Read firstREADME.mdsrc/app/page.tsxsrc/app/api/analyze/route.ts

What RepoAtlas will not claim.

Static signals are useful when their limits stay visible.

Does not execute uploaded code

Does not call AI

Does not claim production readiness

Does not assert bugs or vulnerabilities

Does not infer business purpose without evidence

Danger Zones are structural risk signals, not bug counts

Export the brief. Share the report. Walk into the interview with receipts.

Start with the bundled sample or analyze a repository zip or public GitHub URL locally.

Try sample Candidate Brief Analyze Repository