Waydev's 2026 platform update connects AI vendor billing data to commit and deployment outcomes, a genuinely sharp CTO-facing framing. Tetriz reads the AI coding session directly, one layer upstream of any vendor's billing API, without needing continued access to it.
Waydev's AI Adoption, Impact, and ROI reporting puts AI spend and AI output on the same screen, a genuinely useful board-level number sharpened by a real finding Waydev has published: engineers report high in-IDE acceptance, but real-world acceptance drops substantially once code is revised later. That reporting is built from vendor billing and usage APIs stitched to commits, without touching the prompt itself, and depends on those APIs staying available. None of it says whether the prompt behind that spend was well-formed. It also can't speak to the harness running it, or the coaching loop that would help an engineer improve either. The Tetriz Desktop App captures the session directly, without needing continued access to any AI vendor's billing API, the detail an org needs to actually get AI-native right.
| Capability | Tetriz | Waydev |
|---|---|---|
| Prompt-to-PR attribution | A four-signal cascade links the session directly to the pull request it produced, captured at session time, independent of any AI vendor's billing or usage API staying available. | The per-commit 'AI Checkpoints' percentage comes from vendor billing and usage data stitched to commits, a join Waydev hasn't published the methodology for. |
| Session quality dimensions | Six decomposed, coachable dimensions: clarity, specificity, context, actionability, completeness, efficiency. | AI Adoption, Impact, and ROI reporting scores spend and output at the vendor level; no decomposed session-quality dimensions are published. |
| Harness setup visibility | Inventories installed skills, sub-agents, and hooks per engineer, and flags silent configuration conflicts. | No public documentation of IDE-side AI-configuration inventory; its reporting comes from vendor billing and usage APIs, not a harness inventory. |
| Onboarding | The Desktop App reads the session directly; connecting GitHub, GitLab, or Bitbucket for PR correlation is the one admin-authorized step, done once. | Requires a personal access token per AI vendor, configured and rotated per integration. |
A specific, published finding, that engineers report high in-IDE acceptance but real-world acceptance drops substantially once code is revised in later weeks, is a genuine research contribution Tetriz doesn't have an equivalent of.
Vendor billing and usage data, stitched to commits, produces that percentage, though Waydev doesn't say exactly how the join works, so it's worth asking directly how confident that number is. It also isn't built from the actual prompt, since Tetriz's session data comes from the IDE directly. The two numbers answer related but different questions.
Not necessarily. Waydev's ROI view puts real vendor-billed AI spend next to AI output at the vendor level, a real board-facing number. Tetriz's own AI ROI figure prices usage differently, from the Outcome Efficiency Score (active agent-hours per merged PR) rather than vendor billing dollars, and adds the session-quality layer underneath: whether the AI sessions producing that spend were well-directed.