COMPETITOR COMPARISON // TYNE VS GREPTILE

Hosted Repo Indexing vs. Local Graph Retrieval & Grounding

Greptile builds hosted full-codebase vector and graph indexes in the cloud to query repos for PR reviews and chat. Tyne 0.3.2 retrieves the same neighborhood Greptile uses (who imports the change, what it calls, and similar functions) locally in VS Code using a fast on-device import graph, 800ms LSP references, and AST fingerprints—grounding LLM findings across outside callers without uploading your entire repository.

Traditional Paradigm

Greptile

Cloud Full-Repo Graph & Vector Index (Postgres / pgvector)

The Tyne Paradigm

Tyne Delivery Integrity

Local-First Neighborhood Graph & Delivery Integrity Engine

01 // Architectural Breakdown

Where the philosophies diverge

Pillar 01

Codebase Graph & Retrieval Architecture

Greptile

Builds a hosted cloud graph and embedding store across the entire repository. Requires full codebase indexing on GitHub connect before reviews or queries run.

Tyne

Runs a persistent local import/export graph on-device (≈3k files indexed in 2.5s refresh), queries 1-hop callers and callees, and queries LSP references in an 800ms budget. Zero cloud embeddings or pgvector required.

Pillar 02

Impact Analysis & Outside-Diff Grounding

Greptile

Queries the cloud graph to post comments across the PR in CI, relying on server-side model evaluation.

Tyne

Packs an 8k neighborhood slice (importers, callees, similar functions) and grounds findings on `changed files ∪ neighborhood paths`. If an outside caller (`src/caller.ts`) breaks after changing `src/api.ts`, Tyne keeps the finding while dropping hallucinations.

Pillar 03

Verification vs. Repo Q&A

Greptile

Designed as a general codebase search, chat, and PR commenting service in CI without an editor integration.

Tyne

Focuses strictly on Validate & Review inside VS Code: validates code against Jira/Linear acceptance criteria, enforces pre-commit security gates, and writes evidence back to the ticket.

Pillar 04

Privacy & Infrastructure Boundary

Greptile

Requires uploading and persisting entire proprietary codebases into centralized cloud vector databases.

Tyne

Indexes on-device with zero code exfiltration. Only the bounded, redacted 8,000-character neighborhood slice leaves the machine during review under BYOK or managed privacy modes.

02 // Direct Comparison Matrix

Capability & governance breakdown

CapabilityGreptileTyne (Delivery Integrity)Business Impact
Graph Retrieval ModelFull hosted cloud graph + embeddings (pgvector)Persistent on-device 1-hop import graph + 800ms LSPInstant local retrieval without server dependencies or cold-start waits
Outside-the-Diff Caller ImpactCloud PR-time graph lookupGrounded allowlist (`diff ∪ neighborhood paths`)Catches breaking changes on callers outside the PR without dropping valid findings
Execution EnvironmentCloud CI / Web app onlyNative inside VS Code (Pre-commit & live buffer)Catches defects and scope drift before commit rather than waiting for CI review loops
Jira / Linear Acceptance CriteriaNone (repo-level code only)Bidirectional criteria extraction & evidence writebackAligns pull requests directly to product manager specifications
Code Storage & Data FootprintFull repository uploaded & indexed in cloud DBZero full-repo uploads; bounded 8k sanitized sliceTotal IP protection with local AST facts and BYOK data sovereignty

03 // Honest Buyer Guide

Which solution is right for your team?

When to choose Greptile

  • You need a centralized cloud index to chat with a massive multi-million-line legacy repository via a web interface.
  • You want an external API for codebase RAG queries across unrelated third-party tools.
  • You do not need IDE-time ticket verification, local pre-commit gates, or sprint board evidence writeback.

When to choose Tyne

  • You want Greptile-grade neighborhood impact analysis (who imports the change, what it calls, similar functions) running entirely on-machine in VS Code.
  • You need to verify that code changes fulfill Jira or Linear acceptance criteria before opening a pull request.
  • You want true impact findings on outside callers preserved without uploading your full codebase to cloud vector stores.
  • You need deterministic pre-commit security gates for secrets, AST rules, and taint tracking.

04 // Common Questions

Frequently asked questions

How does Tyne’s code graph retrieval compare to Greptile’s hosted index?

Greptile builds a centralized cloud graph with embeddings to support general repo chat. Tyne 0.3.2 uses a persistent on-device import/export graph, optional 800ms LSP references, and AST fingerprint matching to retrieve the exact 1-hop neighborhood around the diff. It provides the same neighborhood context for reviews without needing cloud databases or full-repo uploads.

How does Tyne handle breaking changes in files outside the active PR diff?

Tyne’s grounding engine uses an allowlist of `changed files ∪ neighborhood paths` (importers, callees, similar functions). If modifying `src/api.ts` breaks an external caller `src/caller.ts`, the finding is retained and highlighted with evidence rather than being filtered out as outside-of-diff noise.

Does Tyne upload my entire repository to index the code graph?

No. The index is built and cached locally on your machine via SemanticWorkspaceIndex (indexing ~3,000 files in ~2.5s on refresh). Only the bounded, sanitized 8,000-character neighborhood slice is passed to the review model.

Ready to Upgrade?

Replace unverified velocity with Delivery Integrity.

Experience IDE-time verification with automatic Jira and Linear proof writeback. Install the VS Code extension or request team beta access.