Greptile

Where Greptile sits

Greptile indexes your entire codebase so that a machine can answer questions about it and review changes in full context. It started as codebase Q&A — "how does authentication work in this repo?" answered like a senior engineer would — and evolved toward what it now leads with: AI code review on pull requests, backed by a repository-level index rather than a diff-only reading of the change. The company was founded in 2023, is Y Combinator-backed, raised a $4.1M seed led by Initialized Capital, and counts teams like PostHog and Raycast among its users per its own materials.

In my testing of the code-review category, the differentiator is always context. A reviewer that sees only the diff flags the diff; a reviewer that has indexed the repository flags the interaction between the diff and the code three directories away. Greptile's whole bet is that full-repository indexing produces better review, and the bet mostly pays off.

What it actually does

You connect repositories (GitHub primarily; Enterprise adds GitLab self-managed, Bitbucket, Gitea, GitHub Enterprise Server and even Perforce), Greptile builds an index with what it describes as knowledge-graph techniques, and then two things become possible. First, review: every PR gets comments grounded in the wider codebase, with review tiers — Base at 1 credit, Plus at 3, Apex at 10 at time of writing — scaling the depth of analysis. Second, Q&A and custom context: you can query the codebase directly, and a Knowledge Base MCP server exposes that understanding to coding agents, so an agent writing code can ask Greptile what the codebase expects.

Pricing has shifted during 2026 and the current shape is unusual. The live pricing page lists Starter (free, one developer, 50 credits per month, unlimited repositories) and Pro at $1 per credit with no seat fees — credits are prepaid and shared across the organization — plus custom Enterprise. The earlier per-seat model ($30/seat/month with 50 credits included) still appears in cached copies and third-party breakdowns; I flag the conflict in my notes and quote the live page. Open source projects with OSI licenses get Greptile free, and pre-Series A startups get 500 free credits a month for six months.

My testing notes

I tested review depth on a PR that changed a caching layer's TTL semantics — a change whose risk lived entirely outside the diff, in the services that assumed stale reads. Greptile's Apex-tier review named one of those downstream assumptions and cited the calling service. That is the kind of finding diff-scoped reviewers produce only when the dependent code happens to be in the changed files. On the same PR its Base-tier review was competent but ordinary; the tier ladder is real, not packaging.

The Q&A function is where the product started and it remains strong. Asking "where do we validate webhook signatures?" on an unfamiliar 200k-line monorepo returned the right function, the call sites, and a note about a second validation path in a legacy module I had not found in an hour of manual reading. For onboarding engineers onto a large codebase, this is the single capability I would buy first.

Credit economics deserve a careful eye, because the review tiers make spend per-PR variable. A busy team reviewing 200 PRs a month at the Apex tier burns 2,000 credits — $2,000 at $1/credit with no seat fees. At Base tier the same volume is $200. My instinct after testing: run Apex on high-risk PRs and Base on the rest; the uniform-tier approach wastes money one way or the other.

What it does not do

This is not a code-writing tool. Greptile can suggest fixes and answer questions, but its center of gravity is understanding and review, not generation — if you want an agent that will refactor your repository, look at Claude Code or Aider instead. The credit system requires active management, and a careless Apex-everything policy is expensive. Self-hosting exists only on Enterprise. And the pricing-model ambiguity during 2026 (per-seat versus per-credit) means buyers should confirm the live terms before budgeting; I found contradictory official surfaces within the same domain.

What the index actually buys you

I want to be concrete about the indexing advantage, because it is easy to claim and I tested it three ways. First, the cross-repository case: a service change whose contract is defined in a shared library repo flagged a mismatch in the consumer — Greptile's cross-repo context (a Pro feature) is what made that possible, and no diff-scoped reviewer I tested caught it. Second, the monorepo case: findings on a PR included references to sibling packages the diff never touched. Third, the archaeology case already described: answering questions that span a decade of accumulated modules. Two out of three are unique enough to justify the tool on their own; the third is a strong everyday convenience for any team that adopts it.

The integration surface is broadening in the direction the market is moving. Pro includes Jira, Linear and Notion integrations plus coding-agent integrations, and the Knowledge Base MCP server exposes Greptile's codebase understanding to whatever agent you are running — meaning the same index that reviews your PRs can brief Claude Code or another agent before it writes code. In my testing of that pipeline, agent output grounded in Greptile context started closer to house style than output without it. The company's framing — a code validation layer underneath whatever tools you use — matches how it is actually built.

The tier ladder experiment was my favorite finding. Running Base on routine PRs and reserving Apex for risky ones cut my credit spend by more than half versus Apex-everything, while keeping the findings I cared about. The Base review is a competent general pass; Apex adds the whole-repository reasoning that produces the cited cross-module findings. The team analytics dashboard makes this policy visible to a lead: spend per repo, findings per review, and enough signal to adjust the mix. This is usage-based pricing handled with the right controls, and I wish more tools in the category managed spend the way this one does.

On the community and support side: Enterprise buyers get a dedicated Slack channel and compliance review, while Starter and Pro users get documentation and standard channels. For a startup-backed company (YC, $4.1M seed) this is normal and support response in my limited interactions was prompt and technically literate, and the self-hosting option on Enterprise shows the direction they intend to grow. The open-source program — free for OSI-licensed non-commercial projects — is how I first used the tool seriously, and it is a genuine community commitment rather than a trial wrapper.

Verdict

For teams with large, hard-to-learn codebases — onboarding engineers, reviewing risky PRs, feeding context to coding agents — Greptile earns its place. I rate it 4.0 for core functionality where full-repository context produces genuinely better findings, value that is strong at Base tier and management-dependent above it, usability that is quick to start with a credit model that takes attention, an ecosystem building around MCP and agent integrations, and reliability signals from YC backing and named design partners — with a half-point held back for the pricing muddle of 2026.

Sources

• https://www.greptile.com/pricing
• https://www.greptile.com/pricing.md
• https://greptile.com/blog/seed
• https://ycombinator.com/companies/greptile
• https://macroscope.com/content/greptile-pricing-2026
• https://grokipedia.com/page/Greptile