Tetriz vs Devin

Devin now suggests a better prompt per task. Tetriz scores every session the engineer runs, every week, as one throughline.

Cognition's Devin is a capable autonomous coding agent, with enterprise traction at companies like Goldman Sachs and Citi, and its Session Insights feature now analyzes a completed session and suggests an improved prompt for that same task. Tetriz isn't a competing agent: AI Drivers already attributes every autonomous loop in its six supported agents to an owner, with runs, cost, and outcome, and its weekly Session Quality Score is a durable, cross-session signal for the engineer, not a per-task suggestion.

Devin's feedback is per task; Tetriz's coaching is per engineer, every week

Devin is a capable autonomous software engineer: it plans, codes, tests, and iterates independently, and Cognition's enterprise traction reflects real progress in autonomous coding. Its Session Insights feature is real progress on feedback too, analyzing a completed session and generating a rewritten, improved version of the original prompt, with Cognition's own documentation walking through a session that overran its expected ACU budget (Agentic Computing Units, Devin's per-task compute-cost metric) to show how the analysis flags what went wrong and suggests a better prompt for next time. Cognition's AI Productivity Guarantee also converts estimated productive engineering hours to a dollar value against actual spend, though Cognition itself is explicit that this isn't full business ROI. Tetriz isn't trying to out-code Devin, and its harness layer doesn't reach into Cognition's own runtime either. Across the six coding agents it does support, AI Drivers prices what a loop cost against what it shipped through a disclosed formula, and the weekly Session Quality Score is a durable signal across every session the engineer runs, not a one-off prompt rewrite for a single task.

Where Tetriz wins vs Devin. Session-level data, mapped to the pull request it produced.

CapabilityTetrizDevin
Loop & cost accountingEvery autonomous loop across the six agents it supports is attributed to an owner by AI Drivers, with its runs, cost, and outcome; AI ROI converts that into an org-level net dollar figure, net of the AI Tax, a disclosed formula.The AI Productivity Guarantee converts estimated productive hours to a dollar value against ACU spend, real progress past a raw consumption meter, though Cognition itself says this isn't full business ROI.
Session quality scoringSix coachable dimensions (clarity, specificity, context, actionability, completeness, efficiency), scored from the session that assigns the task, as a durable signal across every session the engineer runs.Session Insights analyzes a completed session and generates a rewritten prompt for that same task, real per-task feedback, but not a structured, durable score across sessions.
Weekly coaching loopEvery week, the engineer who ran the session gets their own Session Quality Score back, visible only to them and their org's admins, never used for cross-engineer ranking.Session Insights is generated on demand, per completed session; it isn't a standing weekly signal delivered to the engineer as a person.
Harness improvement & enforcementA recommendation engine curates a vetted, pre-filtered base of skills, sub-agents, and rules; the Harness Control Plane pushes that baseline to every engineer's machine across the four coding agents it enforces on (Claude Code, Cursor, Codex, and Kiro), and tracks each one's install status.Devin's own settings configure Devin itself, which sits outside those six agents; there's no publish mechanism or install-status tracking for harness config there.

Where Devin wins. Said plainly, credit where it’s due.

Autonomous task execution

Plans, codes, tests, and ships engineering work independently, at enterprise scale, with disclosed customers including Goldman Sachs, Citi, and Cisco. Tetriz has no equivalent; it prices and improves the loop, it doesn't write the code itself.

Benchmark results, funding & productivity guarantee

Cognition publishes its own benchmark results, has raised significant capital, and backs its ACU spend with an AI Productivity Guarantee, real signals of confidence in autonomous coding, though the benchmark numbers are self-reported rather than independently audited.

Questions teams ask. Comparing Tetriz and Devin.

Not as a code-writing agent, and not as its own per-task feedback loop either, Session Insights already does that for a completed Devin task. Where Tetriz competes: across the six coding agents it supports, it prices what an autonomous loop cost against what it shipped through a disclosed formula, and gives the engineer a durable, weekly coaching score across every session the engineer runs, not a one-off prompt rewrite.

No, not while the task runs inside Cognition's own cloud environment, that's what Session Insights is for. What Tetriz does read, cost and outcome included, is any session or autonomous loop run directly in one of its six supported agents: Cursor, Claude Code, GitHub Copilot, Codex, Kiro, or Antigravity.

The sessions and loops run directly in one of its six supported coding agents, Cursor and Claude Code among them, priced and scored the same way either time, as one durable weekly signal. Devin's own ACU-billed tasks aren't visible; Session Insights covers those separately, per task.

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