Greptile vs Qodo (2026)

Breadth across classes is comfortably met. Fix with your Agent routes findings outward into five named coding agents through a local bridge CLI, an unusual integration direction for a review tool: Greptile positions itself as the review step that hands work to whichever agent the customer already runs.

v5, shipped 5 August 2026, makes the architecture explicit: a swarm of narrowly scoped agents, each exploring a single hypothesis, run in parallel and aggregated into one review. The coordination is evidenced by measured aggregate outcomes: median review time halved and the comment addressed rate rose from 52 to 66 percent, which only makes sense if the swarm's output is filtered and merged rather than concatenated.

Parallel specialist subagents run under a judge agent that consolidates their findings.

Reviews start automatically when a pull request opens in GitHub or GitLab and re-run on later commits under configured triggers, so work reaches the agent with no person starting it. It can also be invoked by an @greptileai mention, a re-trigger control, a reply in the thread, or the CLI on a local branch, and MCP reaches it from four IDEs. Slack is a delivery destination rather than an invocation channel, and no scheduled or cron driven review is documented.

Invocation spans four git platforms on pull request events, two IDE families including pre-commit local audits, and a CLI in pre-commit hooks and CI gates: event-driven breadth across the development lifecycle rather than a single trigger.

Two mechanisms extend grounding past the repository boundary: Repo Clusters, reading up to seven related repositories per review, and the Partner Program, supplying maintained context for third party APIs. The files.json mechanism is a design choice worth noting: it points reviews at existing schemas and architecture docs rather than requiring a separate knowledge base.

The Context Engine indexes the codebase, and PR history indexing is in beta for GitHub and GitLab; the beta label does not gate access.

Memory and Learning is a named system with its own documentation page, its own dashboard section, five documented learning signals and an inference step that proposes new rules from observed behavior. It holds at Partial because the page states no scope boundary, lifetime or way to review and delete what was learned.

The Rule Miner page states the scope, that the agent writes the rules, a decay and removal path, and admin review. PR history indexing counts toward Knowledge grounding instead.

Greptile posts reviews and, where enabled, approves pull requests on its own: auto-approve, shipped 26 June 2026, works under a customer set risk ceiling, with exclusion filters and a never approve list covering authentication, secrets, billing, migrations, infrastructure, CI and public APIs that the customer cannot switch off. Those are customer controlled constraints on the agent; no step where a person approves the agent's action before it lands is documented, which holds it at Partial.

The oversight model is structural rather than gated: Qodo is a review layer whose output is advisory findings on a pull request, so a human decides on every suggestion by construction. What is absent is a configurable approval gate or runtime guardrail on agent actions, because the agent does not take autonomous actions on the codebase.

Both halves of the bar are met independently, and the self hosted air gapped path with customer supplied models matters most for the regulated buyers this vendor targets, since it removes the trust question rather than attesting to it. The SOC 2 Type II claim and the defense, healthcare and financial services customer base come from vendor marketing pages rather than a trust portal, and no named audit firm or published report has been found.

The trust center lists SOC 2 without stating Type I or Type II.

The analytics dashboard, shipped 15 April 2026, is a real reporting surface with export, and the review footer's counter and last reviewed commit link add per PR traceability. It holds at Partial because these measure review outcomes and team throughput, not a retained per action record of what the agent did and why; no session record, execution replay or agent run history is documented.

What holds it short of Full: no per-step or per-tool-call record of what the review agents did is documented. The enterprise page's full auditability line is marketing, the named audit logs do not say what they record, and per-finding PR comments are the output itself.

Greptile publishes the actual deployment mechanics rather than describing air gapped deployment on a marketing page: named services, sizing thresholds, a public repository, a Terraform path and a documented migration route between deployment methods. Both halves of the axis are met independently, deployment surface and data location control, with bring your own LLM closing the inference path.

The Partner Program, shipped 22 June 2026, is a vendor curated pack, supplying partner maintained review rules for eight named third party APIs, enabled by default. It holds at Partial because these are context packs applied automatically rather than a browsable catalog of installable agents or templates, and there is no marketplace or gallery. AI rules import is customer owned configuration and does not count.

The Agentic Toolbox is a small named set of skills rather than a broad catalog. Qodo Gen, Command, Aware and Cover no longer appear on the enterprise page.

Configurable Models has been documented since 26 September 2025, and three independent forms of the axis are present: explicit customer selection, documented routing, and bring your own model on self-host. Model Inversion is an unusual routing rule: it routes review away from the authoring model, on the vendor's own research that models catch more bugs in code written by a different model.

BYOK is confirmed on the pricing page; the providers it covers are not named on current pages.

The surface is broad: four named REST endpoints, a hosted MCP server with a documented bearer token setup across four IDEs, an npm CLI with machine readable and agent oriented output modes, a plugin in Anthropic's official marketplace, webhooks and Zapier. Other assistants call Greptile to query rules and trigger reviews, which is the direction this axis credits.

Other systems reach Qodo through the Agentic Toolbox's MCP and API surface, installed from a CLI or as plugins for other coding agents.

Here the axis and the product coincide: Greptile tests the customer's change on every pull request. TREX is the unusual part: it writes and executes targeted tests against the repository's real stack rather than a mock environment and attaches execution evidence to the comment, which is close to a customer facing test harness. TREX is in public beta, and the security agent's benchmark claims are vendor reported.

Reviewing the customer's changes is the product itself; test generation and Qodo Cover do not appear on the current pages.

All documented action runs through programmatic interfaces: sandboxes, code graphs and the GitHub API. TREX attaches screenshots and videos as failure evidence, which implies browser driven end to end tests, but running the customer's own test framework is executing their harness rather than operating software that lacks a programmatic interface, and no browser tool, computer use capability or GUI automation is named on the TREX page or in the changelog. A documented browser tool would change this.