FOR DEVELOPERS SHIPPING WITH AI

Build products. Don’t ship AI slop.

Your agents can generate code faster than your team can understand its consequences. Tavlin reveals the assumptions, behavioral changes, and hidden product rules inside every AI-generated Pull Request—before they become Contractual Drift.

See Tavlin review a PR Explore the evidence

Generation is fast. Understanding is the bottleneck.

For teams shipping heavily with AI, unresolved assumptions become behavior before anyone agrees to them. Code diffs show edits; Tavlin focuses review on the decisions that can propagate into dependencies, features, and product rules.

More agents, more assumptions

Every omitted edge case invites a plausible implementation choice.

Review cannot scale line by line

High-volume generated code needs focused questions, not another summary.

Behavior becomes a promise

Local choices can become interfaces, business rules, and customer expectations.

Why guided validation works

Independent VLP research found that translating generated code into reviewable intent—and guiding humans to likely mismatches—substantially improved validation outcomes.

END-TO-END CORRECTNESS

65.4%–93.5%

VLP pass@1 compared with a 28.7%–73.2% default-code range across evaluated models and benchmarks.

Default 28.7%–73.2%

VLP 65.4%–93.5%

UNAGREED ASSUMPTIONS

43.6%–46.7%

Prompt underspecification was the largest source of reviewable bugs: models made plausible choices instead of confirming intent.

≈45%

Contractual Drift starts here. Missing detail becomes generated behavior.

VISIBLE AT THE INTENT LEVEL

82%–83%

Natural-language documentation exposed 156/191 DeepSeek bugs and 169/203 Claude Opus bugs.

81.7%

83.3%

FOCUSED HUMAN JUDGMENT

85.9%–90.5%

Documentation-visible bugs judged from the problematic line and only a few surrounding lines.

≤90.5%

Review the decision. Keep nearby evidence and context visible.

TRACE LINKS MATTER

Prompt ↔ behavior

Removing implementation-relevant trace-link recovery reduced pass@1 on BCB-Hard.

GPT-5.4 91.9 → 72.3

DeepSeek 66.2 → 58.8

Built for developers who use AI heavily

Tavlin turns the gap between prompt and implementation into a reviewable workflow.

01 Reconstruct the contract

Translate generated code into behavior, assumptions, edge cases, and product rules.

02 Find likely drift

Trace requirements to implementation and show where an agreement changed.

03 Review only what matters

Ask focused questions with nearby evidence instead of reviewing every line.

04 Create a repair brief

Turn validated decisions into auditable instructions for the next agent pass.

Fast agents. Deterministic trust.

0.80 policy gate

Low confidence, invalid output, missing answers, inferred intent, and non-explicit requirements escalate to human review.

Explicit privacy boundary

Manual mode is local-only. Agent mode sends the prompt, targeted questions, and linked excerpts to your configured endpoint.

Read-only reviewer

The reviewer never executes generated source and never modifies files. It produces evidence, an audit trail, and repair instructions.

Ship at AI speed without losing the contract.

Let agents generate the implementation. Use Tavlin to keep assumptions, behavior, and product promises reviewable.

See Tavlin review a PR

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