How we compare project management tools, AI products, and coding models

We choose criteria based on the reader intent behind the page, and we state them before any verdict. For project management software, our comparisons consistently use six lenses: day-to-day execution, documentation and shared context, the piloting layer above the board, AI agents on real work, MCP and API surface, and maturity and ecosystem. These are the same six rows you will find on every Stellary vs X page — the criteria do not change to flatter a conclusion.

The maturity criterion deserves a note: it is the one Stellary loses on every comparison we publish. Linear, Notion, ClickUp, monday, and Jira are mature products with large ecosystems; Stellary is a young product in open beta. Our own tables say so, in plain words, because a comparison that hides the obvious is useless to the reader.

For coding models, the criteria shift toward reasoning quality, coding depth, latency, cost, reliability, and performance on the specific task category being discussed. Model guidance is volatile by nature, so those pages are anchored to an explicit date and reviewed when the model landscape moves.

Our evaluations rest on three kinds of evidence, in decreasing order of weight: hands-on usage when the product is accessible to us, the vendor’s own public surfaces (documentation, changelogs, pricing pages, public roadmaps), and consistent reporting from practitioners we can cross-check. We do not copy marketing claims into comparison cells.

When we have not run a structured benchmark, we say things like “strong fit” or “weaker zone” instead of inventing numbers. If a page ever publishes figures, the protocol that produced them will be published next to them. A score without a protocol is an opinion wearing a costume.

Every comparison we publish must state where the other tool genuinely wins — and recommend it for the contexts where it is the better choice. If your team mainly needs the fastest issue tracker, our Stellary vs Linear page tells you to pick Linear. If governance pressure dominates, our Jira page says Jira wins that case.

This rule exists for a selfish reason as much as a moral one: a reader who catches one inflated claim discards the whole site. The only comparison pages worth ranking are the ones a competitor’s honest employee could read without wincing.

We aim for search-intent alignment up front, then explicit criteria, honest strengths and limits, use-case verdicts, and internal links that help the reader continue the evaluation.

Software comparisons rot. Every comparison page and article displays the date its claims are anchored to, and articles display a “last reviewed” date that reflects a real re-read, not an automated bump. We re-review comparison pages when one of the products ships a change that affects a criterion, and at minimum once a quarter.

When a claim turns out to be wrong or outdated, we correct the page rather than quietly deleting it, and the updated date moves. If you spot an error, tell us on Discord or through the contact channels on this site — corrections are a contribution, not an embarrassment.

Stellary builds AI agents, and we use them: drafts, restructuring, translation passes, and consistency checks on this site are AI-assisted. The positions, verdicts, and criteria weights are set by humans, and a named human is responsible for every published page.

Two hard rules apply. AI never invents statistics, benchmarks, or quotes — if a number has no source, it does not ship. And AI assistance never loosens the honest-loser rule: a model that drafts a flattering comparison gets edited until the comparison is true.

We are not a neutral review site: Stellary competes with some of the products we compare, and the reader should keep that in mind — it is also why our methodology is public. We hold no affiliate relationships with the tools we evaluate, we accept no paid placements in comparisons, and competitor strengths are stated in the same table format as ours.

The best way to use our comparisons is the way we intend them: as a structured starting point. Shortlist with our criteria, then test the finalists on your own project. Every serious tool in this category, Stellary included, has a free tier or trial precisely so you can verify claims yourself.

We avoid listicles without criteria, winner-takes-all framing, and pages that mention Stellary too early when the reader is still trying to understand the category.

We also avoid presenting volatile model guidance as timeless advice, padding pages to chase word counts, and re-ranking tools without re-testing them.