codesolara vs Codility.

Captures everything the candidate asked the assistant, and deliberately refuses to let any of it move the score.

We sell one of these, so read it as an argument rather than a review — which is why the section on where Codility beats us is the longest one here. Checked 19 September 2026; verify anything decisive with them directly, because this category is moving quickly.

// at a glance

The short version

AI in the assessment
Cody, their assistant, inside a VSCode environment
What the reviewer sees
Every prompt, suggestion and follow-up, as reviewable activity
Scores how AI was used?
Deliberately not — AI activity does not affect their automated scoring
codesolara, for contrast
Prompts, edits and commands as the evidence behind each score — graded against bands your team authored, with a second pass that re-checks every citation.
// what Codility does

What they have actually shipped

Cody, their assistant, runs inside a VSCode environment on OpenAI models, and every prompt, suggestion and follow-up is captured as reviewable AI activity. The notable part is what they do next: none of that activity affects their automated scoring. They capture the record and leave the judgement to a human on purpose.

// where they beat us

Reasons to choose Codility instead

Written so that an engineer who works there would call it fair.

  • You do not believe an automated system should be judging how someone collaborates with AI. That is a coherent view, and Codility have built for it rather than claiming more than they can support.
  • Your process already has experienced reviewers who want raw material and no opinion attached.
  • You need an established enterprise vendor with the procurement posture that implies.
// where we differ

Reasons to choose codesolara

  • Reviewer time is your constraint. An unscored record moves the work to a person, and that cost is what usually stops evidence-based hiring from surviving a busy quarter.
  • You want consistency across interviewers. Without bands written in advance, two reviewers reading the same transcript score it differently and both believe they agree.
  • You want an argument you can disagree with, rather than a pile of material you have to form one from.

All of those come back to one mechanism. A second run re-reads the citations behind each score and confirms they say what the score claimed; when the evidence does not hold, that criterion iswithdrawn rather than marked down, because an invented citation must not cost a candidate marks and must not earn them either.The reasoning, in full.

// questions

Common questions

Does Codility score how candidates use AI?
No, and deliberately so. They capture every prompt and follow-up as reviewable activity, but state that none of it affects their automated scoring.
Is that better or worse than scoring it?
It is more cautious, and caution is a reasonable answer to a hard problem. The cost is that the judgement still has to be made by a person, without anything written down in advance about what good looks like, which is where inconsistency between interviewers comes from.
What does codesolara do instead?
Scores against bands your team authored, cites the moment behind each score, and runs a second pass that re-checks those citations. A criterion whose evidence does not hold is withdrawn rather than marked down.
// the others

Compare something else

see what the scorecard produces →what we mean by AI fluency