Bugbot vs Greptile: Which AI Reviewer Fits Your Team?

Choose BugBot if your team works in Cursor and wants a short route from a reported bug to an agent-assisted fix. Choose Greptile if cross-file problems are the bigger concern and you want a dedicated reviewer that can hand fixes to several coding agents. Greptile also offers a self-hosted Enterprise option.

When choosing a review tool, consider how it fits your work. We have not measured which catches more bugs on the same code. BugBot uses changed code, rules and connected context; Greptile indexes repository relationships. The AI code review guide covers other options if neither fits.

The BugBot tool page covers triggers, nested rules, effort, and spend controls. The Greptile tool page covers graph testing, configuration, feedback, and agent handoffs.

BugBot and Greptile in One View

Product details come from Cursor's BugBot documentation, Greptile's product overview, and both vendors' current pricing pages. Public product terms can change.

Dimension	Cursor BugBot	Greptile
Context base	Diff, rules, and tools	Persistent codebase graph
First setup	Connect and enable	Connect, index, configure
Manual trigger	bugbot run	@greptileai
Local guidance	BUGBOT.md	.greptile/ files
Feedback memory	Learned rules	Reaction-based learning
Fix destination	Cursor or web	Choice of coding agent
Billing shape	Usage per run	Seat plus credits
Free entry	Account trial or usage	Starter and OSS paths

How Do BugBot and Greptile Understand Your Code?

BugBot analyses pull-request changes with repository rules and connected context; Greptile uses an indexed graph of functions, classes and dependencies. BugBot reads project guidance from .cursor/BUGBOT.md. The root file always applies, while more-specific files join the review when changed files sit under their directories. This makes a rule's scope visible in the repository and lets an API folder carry checks that would be noise in a frontend package.

Cursor also lets Teams and Enterprise accounts connect MCP servers for review context. Learned rules add another layer by turning repeated pull-request feedback into candidate guidance. BugBot therefore has more context than a bare diff, though its public docs frame changed code as the review's starting point.

Greptile makes a broader claim about repository structure. It indexes functions, classes, and dependencies into a repository graph, then uses that graph when a pull request changes one part of the system. The review can refer to related code outside the diff because those relationships existed in its index before the pull request opened.

Greptile also needs time to build and update its index. Greptile's quickstart says very large repositories can take one or two hours to index, while ordinary review comments usually arrive in about three minutes after setup. A large reorganisation or a stale index can affect the context a reviewer expects to be current.

Greptile's .greptile/ configuration can add instructions, scoped rules, referenced files, ignored paths, and related repositories. Cross-repository context is useful for a shared types package or SDK whose contract lives outside the application repository. It also gives Greptile access to more code. Connect only the repositories it needs.

BugBot loads guidance for a review; Greptile also keeps an index of code relationships. BugBot can receive precise rules and external tool context for the changed area. Greptile maintains a graph designed to expose relationships before anyone writes a rule for the specific caller.

What Extra Context Can BugBot and Greptile Use?

BugBot can use repository rules and MCP servers; Greptile can use indexed repositories, linked codebases and referenced files. A security rule might require every database write to check the user's permissions. An MCP connection can supply issue or service data. Connect a source only when the review needs it. Broader access can cost more and expose more data.

Greptile expands through indexed repositories and files referenced by .greptile/ configuration. A service can name a shared schema repository or an SDK that defines its public types. The graph can then connect code across that boundary during review.

Give either reviewer only the repositories and external systems it needs. Before connecting sensitive data, check who can change those connections and what the vendor retains after access is revoked.

Test a Contract Break

A cross-file contract break gives both products a fair, useful test. Choose a shared function whose result is consumed outside its own file. A permission helper, API response type, event payload, or database mapper works well because the caller has a clear expectation that can fail.

Create a small pull request that changes the producer while leaving one consumer untouched. Keep the failing relationship out of the pull-request description. The reviewer should find the link from code and repository context rather than a hint written for the experiment.

1. Name the producer and hidden consumer in a private scorecard.
2. Run BugBot and Greptile on the same commit.
3. Record whether each comment names the affected consumer.
4. Require a reachable failure or a testable contract.
5. Repeat with a compatible change that should stay quiet.

Test a safe change too. A reviewer that flags every shared-function edit can appear thorough while moving the investigation burden onto humans. A useful reviewer catches the broken call and leaves the safe change alone.

Run a second pass after adding one narrow repository rule to each product. Put the BugBot rule in the closest applicable BUGBOT.md.

Put the Greptile rule in a scoped .greptile/rules.md or structured configuration entry. The wording should describe the contract without naming the planted bug.

This shows whether the reviewer found the problem itself or needed a rule to point it there. A product may miss the relationship unaided and catch it after guidance, which still has worth. Record whether the reviewer needed the extra rule to find the bug.

Can BugBot and Greptile Learn Your Review Standards?

Yes, BugBot and Greptile can use explicit rules and feedback to adapt reviews to your team. BugBot's repository rules follow the directory tree. A security rule for the whole project can sit at the root, while an API package carries a stricter rule for authentication or transaction handling. Reviewers can inspect the same file that guided the bot, which makes a questionable comment easier to trace.

Cursor's learned-rules feature watches reactions, replies, and human review comments. Repeated signals can become candidate rules, then lose status if later evidence stops backing them. Teams should review promoted rules because an old convention can become a reliable source of stale comments after the architecture moves.

Greptile offers dashboard controls for strictness and comment types, plus repository configuration for rules and ignored paths. Its quickstart lists Syntax, Logic, and Style controls. Teams can also filter reviews by labels, authors, branches, and pull-request text, which helps keep generated or low-risk changes out of the automatic queue.

Greptile says reactions and replies teach the reviewer what the team cares about, with unwanted feedback declining over time. Check that claim during your trial. Save two or three dismissed patterns, then submit equivalent safe changes later and check whether the comments return.

Unhelpful comments waste people's time. Unnecessary reruns waste money. Adjust the rules to reduce the comments, and the triggers to reduce the reruns.

When Do BugBot and Greptile Run Reviews?

BugBot can review updates automatically or wait for a manual request; Greptile can also run automatically or on request and filter reviews by branch, label, author and pull-request text. Those controls decide whether the reviewer meets a stable change or comments while the author is still rewriting it.

Cursor's automatic update mode fits teams that want a fresh pass after each meaningful push. The same mode can spend several review runs on one pull request. Mention-only or once-per-pull-request settings keep the queue smaller during calibration.

Greptile skips drafts by default and says a normal review arrives in about three minutes after indexing. A team can reserve automatic review for a ready label, then use @greptileai for an older or unusually risky change. That gives Greptile a finished change to review.

Measure how long it takes from marking a change ready to confirming a useful finding. Fast comments help little if they take longer to dismiss than the review saves.

How Do BugBot and Greptile Help Fix Bugs?

BugBot sends confirmed findings into Cursor or its web agent; Greptile offers a choice of coding agents through Fix with your Agent. A finding can open through "Fix in Cursor" or move to Cursor's web agent. Cursor also documents Fix All and Autofix behaviour, though the BugBot repair guide covers the safety checks in more detail.

That handoff removes the search for the affected line and brings the finding into the editor where a Cursor user already works. The proposed code still needs inspection and tests. A fast handoff can make a weak finding more tempting, so the team should require evidence before accepting the repair.

Greptile's "Fix with your Agent" action is built around choice. Its current overview lists Claude Code, Codex, Conductor, Cursor, and Devin. The handoff includes the issue, file paths, line numbers, and suggested code, giving the chosen agent a compact repair brief.

Agent choice helps a team that already splits work across coding tools. It also adds variation to the repair environment, permissions, and output. Whichever agent receives the comment, inspect the diff, run the relevant tests and preserve human approval.

BugBot keeps review and repair in Cursor.

Greptile lets its review feed a separate coding agent. Teams with one standard editor may prefer the first arrangement; teams with several approved agents can use the second without forcing a new repair tool.

Which Git Hosts Do BugBot and Greptile Support?

BugBot supports GitHub, GitLab, Bitbucket, Azure DevOps and Origin; Greptile supports GitHub and GitLab, including documented self-hosted Git installations. Repositories must be enabled for indexing, and the product needs enough access to build its graph. Connect only the repositories Greptile needs to review the change and its dependencies.

Greptile's Enterprise plan lists self-hosting, SSO/SAML, GitHub Enterprise coverage, custom terms, and a data-processing agreement. Public plan text cannot answer a team's retention or residency questions. Request the current architecture and contract details before connecting regulated or customer-sensitive code.

BugBot's current setup documentation includes GitHub Enterprise Server, GitLab Self-Hosted and Bitbucket Data Center. Confirm provider-specific features as well as access, because some Autofix modes are not available on every host.

BugBot can use MCP servers on Teams and Enterprise plans. That can pull issue or service context into a review, and it creates another outbound access path to approve. For Greptile, also check which other repositories the reviewer can read.

For either product, start with one repository and the smallest set of external systems. Record who can enable a repository, who can change review rules, and which agent can write fixes. Good findings do not justify giving a reviewer access to code it does not need.

How Much Do BugBot and Greptile Cost?

BugBot bills for usage, while Greptile Pro combines a monthly seat price with credits. Cursor estimated $1.00 to $1.50 per BugBot run in May 2026, but that historical average is not a current tariff. Check the account dashboard for allowances, effort settings and actual run costs.

Greptile Pro costs $30 per seat each month and includes 50 credits per seat. Base reviews use one credit, Plus reviews use three and Apex reviews use ten; extra credits cost $1 each. The free Starter plan includes 50 monthly credits for one active developer.

Published plan terms.

Dimension	BugBot	Greptile
Billing unit	Usage per run	Seat plus credits
Paid floor	Variable; check account usage	$30 per seat monthly
Included pool	Account credits and extra usage	50 credits per seat
Overage	On-demand spend	$1 per extra credit

Greptile's monthly price includes review credits and its codebase graph service. BugBot's cost depends on how many reviews you run and how much work they do.

A solo developer should check Greptile Starter before paying for Pro. For a team, compare actual monthly reviews and reruns, including higher-cost Plus or Apex reviews. A vendor's average run price is a poor basis for a precise break-even calculation.

Use the full BugBot pricing section and Greptile pricing section for each product's current terms. Compare the bugs Greptile's codebase graph helps catch with the time BugBot saves when fixing them in Cursor.

My Verdict

Greptile is the stronger single purchase for a midsize or large team adding a dedicated reviewer to find cross-file contract breaks. The persistent graph gives the product a distinct job beside ordinary pull-request review, while its agent handoff keeps repair-tool choice open.

BugBot wins for a small Cursor-standardised team that prizes the shortest path from comment to edited code and wants spend to follow review volume. Greptile offers a codebase graph; BugBot keeps fixes close to the Cursor editor and charges by usage.

Frequently Asked Questions

Do BugBot and Greptile work with GitLab?

Yes, BugBot and Greptile both support GitLab reviews. Greptile's quickstart documents its GitLab token and webhook setup, while Cursor's product changelog lists BugBot on GitLab and GitHub Enterprise Server. Confirm self-hosted requirements, plan eligibility, and repository permissions with each vendor before connecting production code.

How do you trigger BugBot and Greptile manually?

Trigger BugBot with cursor review or bugbot run in a pull-request comment. Greptile documents tagging @greptileai on a GitHub or GitLab pull request, including prompts that ask for a focused check. Manual triggers are useful during a pilot because each review event can be measured.

Do BugBot and Greptile learn from feedback?

Yes, BugBot and Greptile both learn from review feedback. BugBot turns repeated pull-request signals into candidate learned rules that can be promoted or disabled. Greptile says reactions and replies teach the reviewer what the team cares about over time. Treat both as product claims and test repeated cases.

Is Greptile free for open-source projects?

Greptile's pricing page says qualified non-commercial projects with an OSI-approved licence can apply for free service. The same page lists a free Starter plan with one active developer and 50 monthly credits. Eligibility and credit terms may change later.

Facts and prices were checked against the official vendor pages on August 8, 2026.