How Tetriz compares

Tetriz measures the AI coding session itself, one layer earlier than the platforms teams already run. Each page sets that against a competitor and marks where each one fits.

All comparisons

LinearB reads the commit. Tetriz reads the session.

Workflow automation & DORA analytics. LinearB tells a team a pull request had AI in it. Tetriz tells them whether the session that produced it was any good, and joins that back to the prompt behind it.

See the comparison

Jellyfish reports AI spend. Tetriz reports the session behind it.

Engineering business intelligence. Jellyfish reports what percentage of code came from AI, aggregated across the industry. Tetriz shows whether a specific org's own AI sessions are converting to shipped work, traced back to the session behind each one.

See the comparison

DX blends measured data with a self-reported input. Tetriz measures the session directly.

Developer experience research (DXI, DX Core 4). DX's AI dollar-impact figure blends measured PR data with a self-reported 'time saved' survey input. Tetriz measures impact from actual session time and pull-request attribution, with no self-report step.

See the comparison

Span detects AI-written code. Whether it also captures the prompt is worth verifying directly.

AI code detection & effectiveness. Span's original AI-code detector reads the code after it's written, and its newer 'Agent Traces' feature isn't publicly documented enough to compare directly. Tetriz reads the session through an app installed on the engineer's machine. The capture mechanism is the product.

See the comparison

Waydev puts AI spend and output on one screen. Tetriz adds the prompt in between.

AI SDLC measurement (vendor-API based). Waydev reports what was spent and what got committed. Tetriz reports what was actually prompted, the layer that explains the gap between the two.

See the comparison

Swarmia measures team delivery and trust. Tetriz adds the AI session underneath it.

Team-first engineering intelligence. Swarmia connects AI spend to what shipped. Tetriz connects it to what was actually prompted, so you can see the prompting behavior behind a good outcome, not just the outcome itself.

See the comparison