Span alternative

Tetriz: the Span alternative with a disclosed session-capture mechanism

Span's newer Agent Traces feature describes capturing prompts directly, but Tetriz couldn't find an installable IDE tool described in its public documentation. Worth asking Span to show one in a demo. Becoming AI-native takes more than a capture mechanism: it's whether the session and the harness behind it are visible enough to coach. Tetriz's own capture mechanism is disclosed by design, installed on the engineer's machine, and turns every session into a coaching signal the engineer who ran it can act on directly.

Why teams look for a Span alternative

A disclosed capture mechanism, worth comparing to a documented one

Span's Agent Traces feature describes capturing prompts, tool calls, and reasoning steps from tools like Cursor and Claude Code. Tetriz couldn't find an installable CLI tool, browser extension, or local agent described in Span's public documentation explaining how. Worth asking Span to show the mechanism directly. The Tetriz Desktop App is installed on the engineer's machine, so its own mechanism is disclosed by design.

Six coachable dimensions, beyond an AI-code ratio

Span's original detector is a strong classifier of AI-authored code, but it's built from patterns in merged pull requests, not session data. Neither it nor the newer Effectiveness suite documents decomposed quality dimensions publicly. Tetriz scores six, from the session directly: clarity, specificity, context, actionability, completeness, efficiency.

Attribution with confidence scores exposed to the customer

A four-signal cascade links specific sessions to specific pull requests, with confidence scores a buyer can inspect. Worth asking Span whether Agent Traces exposes anything comparable.

Common questions about switching from Span

Not usually. Span's original AI-code detector remains a fast, metadata-only way to get an AI-code-ratio number, and some teams keep it for that while adding Tetriz for disclosed session-level attribution.

The Tetriz Desktop App on each engineer's machine, plus admin-authorized access to GitHub, GitLab, or Bitbucket for pull-request correlation, with the capture mechanism disclosed by design.

Worth testing directly rather than assuming either way. Ask to see an Agent Trace record with prompt text in a demo. The Tetriz Desktop App is a local install, so its own capture mechanism is disclosed by design.

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