Grit.io Review 2026: What Happened After Acquisition

Is Grit.io still worth using in 2026?

Not as a standalone commercial product — Grit.io was acquired by observability company Honeycomb earlier in 2025, and in December 2025 its creator donated the open-source GritQL query language to Biome rather than let it stagnate. GritQL itself is now actively maintained, but "Grit.io" as an independent business no longer exists to sign up for.

At a glance

What Grit.io actually was

Grit.io was a developer-tools startup built around a single, sharp idea: most large-scale code migrations — upgrading a framework, renaming an API across a monorepo, enforcing a new lint rule everywhere at once — don't need a fully custom script or a brittle regex. They need a query language that understands code structure the way SQL understands tables.

That language was GritQL, and it was the core of everything Grit.io shipped. Instead of forcing developers to write raw abstract-syntax-tree (AST) manipulation code — the traditional way tools like jscodeshift or codemod scripts work — GritQL let you describe a code pattern declaratively, similar in spirit to a CSS selector or a SQL `WHERE` clause, and then either search for matches or rewrite them in place. The company said it built the underlying engine in Rust specifically so pattern matching could scale to codebases in the millions of lines without grinding to a halt.

Grit.io positioned itself less as "an AI tool" in the generative sense and more as an AI-era refactoring/migration utility: it deterministically found and transformed code matching a defined pattern rather than hallucinating new code from a prompt — a meaningfully safer approach for mission-critical migrations than asking an LLM to rewrite files freehand. Some later tooling did pair GritQL with LLM-assisted pattern generation, letting you describe a transformation in English and get a starting query to refine, but the transformation itself always ran through the deterministic engine.

The company was founded by Morgante Pell, who remained the driving force behind GritQL through its acquisition and eventual donation to Biome. Grit.io raised a $7 million round (announced August 15, 2023), and the product picked up genuine developer traction — support for JavaScript, TypeScript, Python, Java, Rust, Go, SQL, HCL and other languages, a public pattern library described as having "200+" pre-built patterns, a CLI, a browser playground, and a VS Code extension.

What happened — the acquisition and the Biome donation

Two separate events matter here, and they happened close together.

First, Honeycomb — an observability and tracing company best known for its own developer tooling — acquired Grit earlier in 2025. Public detail on the acquisition's terms is thin; neither company published a breakdown of what changed for existing customers, migration timelines, or whether the hosted platform (dashboard, CI-triggered migrations, paid tiers) would keep running under Honeycomb's ownership.

Second, and more consequential for developers who use GritQL day to day: on December 18, 2025, Biome — the Rust-based JS/TS toolchain project — announced that GritQL's repositories had been donated to the Biome organization, and that Morgante Pell had personally joined its maintainers team. Biome had already been using GritQL as its preferred plugin language before the donation, so the move consolidated the language under the organization that was arguably its heaviest real-world user. Biome's framing was that GritQL's future had become uncertain after the acquisition, and donating the project — rather than letting useful tooling quietly stop receiving updates — was the better outcome for the ecosystem.

In practice: GritQL's language, CLI, and matching engine are now maintained inside Biome's GitHub organization (`biomejs/gritql`), with continued commits and an active maintainer. What's much less clear is the fate of any commercial, hosted Grit.io product that existed before the acquisition — neither company's public materials address former paying customers, and the old marketing site now redirects straight to the documentation, with no pricing page or signup flow visible.

A note on sourcing: details here reflect what was publicly documented as of this post's date (below), pulled from Biome's blog announcement, Grit.io's documentation, and its GitHub repositories — not vendor marketing copy. Verify current status via `biomejs/gritql` on GitHub before relying on this for a production decision.

Core capabilities (based on GritQL's public documentation)

Since there's no active commercial product to evaluate hands-on, this reflects what GritQL's own documentation describes it as capable of:

• Declarative pattern matching. Write a GritQL pattern describing the shape of code you want to find — a function call with specific arguments, an import statement, a deprecated API usage — without hand-rolling AST traversal logic.
• Multi-language support. The same language works, with language-specific pattern libraries, across JavaScript, TypeScript, Python, Java, Rust, Go, SQL, HCL and more — useful for polyglot codebases.
• A reusable module system. Patterns can be composed and shared, so a team can build an internal library of transformations rather than one-off scripts.
• A public pattern library. Grit.io described its library as having 200+ standard patterns covering common migrations and lint-style fixes.
• Auto-fix / rewrite mode. GritQL searches for matches and applies structured rewrites — the actual mechanism behind large-scale codemods, not just a find-and-flag tool.
• Rust-based performance. The engine was built in Rust to keep matching fast at the scale of millions of lines of code.

Who it was actually for

GritQL was never aimed at a general audience. It's squarely a developer-tools proposition: platform/infrastructure teams running large-scale framework upgrades or codebase-wide lint enforcement (the use case the $7M raise was built around), individual developers and open-source maintainers who want a lighter alternative to hand-writing AST scripts, and Biome plugin authors, since GritQL is now Biome's preferred plugin language. It is not a fit for teams that specifically wanted a vendor-backed, supported, paid product with an SLA — that commercial layer's future is genuinely unclear post-acquisition.

Pros and cons

Integrations and ecosystem

GritQL's practical footprint runs through developer tooling rather than a hosted platform: a CLI for running patterns locally or in CI, a VS Code extension for authoring and testing patterns in-editor, a browser playground for experimenting without installing anything, and Biome's own plugin system, which now uses GritQL as its chosen language for custom linter/formatter rules — arguably the most active integration point going forward. The canonical source lives under `biomejs/gritql` on GitHub. There's no confirmed Slack, Zapier, or similar no-code integration — this has always been a code-level developer tool.

Where it's a strong fit

It's a strong fit for teams already using or adopting Biome for JS/TS linting and formatting who want to write custom plugin logic in the same query language Biome is built around; for anyone doing a genuinely large, structural code migration who wants a deterministic, reviewable transformation rather than an LLM regenerating files and hoping the diff is correct; and for open-source maintainers who want a free, actively-developed tool over a paid commercial platform.

Where to think twice

Think twice if you were specifically evaluating Grit.io as a vendor-supported, paid SaaS product with a dashboard and enterprise support — that commercial offering's current availability is unconfirmed, and you shouldn't budget around it without confirming current terms with Honeycomb. Also think twice if you need a tool a non-technical team can configure without touching a query syntax (GritQL still requires learning its pattern language), or if your organization needs a vendor with a clear support contract and SLA — this project's post-acquisition, now-open-source status makes that kind of commercial guarantee hard to obtain right now.

Bottom line

Grit.io is a good example of an AI-adjacent developer tool succeeding on its technical merits even after its business model didn't survive as an independent company. Honeycomb's acquisition ended Grit.io as a standalone startup, and rather than let GritQL quietly rot as an orphaned product, its creator donated the code and joined Biome's maintainer team — arguably a better outcome than a slow wind-down. If you need a declarative code search-and-transform language today, GritQL under Biome is alive and worth learning. If you were hoping to buy a supported Grit.io subscription, confirm current status with Honeycomb before assuming it's still for sale.

Frequently asked questions

Is Grit.io still an active company?

No, not as an independent business. Honeycomb acquired Grit earlier in 2025, and its core open-source technology, GritQL, was subsequently donated to the Biome organization in December 2025.

Is GritQL still maintained?

Yes — GritQL is now maintained inside the Biome organization's GitHub (`biomejs/gritql`), with Grit.io's creator, Morgante Pell, having joined Biome's maintainer team directly.

Is GritQL free to use?

Yes, GritQL itself is open source and free. Whatever paid tiers the original Grit.io hosted platform offered are not currently confirmed as available for purchase.

Can I still use Grit.io's old pattern library and CLI?

Yes — documentation, CLI, playground, and pattern library remain publicly reachable through Grit.io's documentation domain, though the main marketing site now redirects there rather than to a product signup page.

What's the difference between GritQL and tools like jscodeshift?

jscodeshift requires you to write JavaScript that manipulates an AST directly. GritQL instead lets you describe the pattern you want to match and transform declaratively, which most developers find faster to learn for common migration tasks, though jscodeshift offers more low-level control for unusual transformations.

Who should learn GritQL today?

Developers already using or planning to use Biome for JS/TS tooling, and anyone doing large-scale structural code migrations who wants a free, open-source, actively-maintained pattern-matching language rather than a paid commercial platform.

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