AI/ML●●●Banger
SafeRun – Replay debugging and inline prevention for AI agents 3
Deterministic state capture solves the impossible 'reproduce this bug' problem.
Zero to OneSolve My Problem
Tidianez
3013d ago
Back to browse
SafeRun – Replay debugging and inline prevention for AI agents 2
by Tidianez·May 21, 2026·4 points·1 comment
AI Analysis
○Pass
404 error page means there is no product to review or evaluate here.
Weaknesses
- •Linked URL returns 404, providing zero code, demo, or verifiable implementation details.
- •Description mentions SDKs and benchmarks but offers no repository or working example.
Category
Target Audience
N/A
Post Description
Background on why we built Replay first instead of validation: [ https://dev.to/saferunai/why-we-built-replay-before-everythi... ]
Working SDK in Python and TypeScript. Sub-50ms p95 on the check-action API. Currently onboarding the first design partners.
Happy to answer questions in the comments.
Similar Projects
Developer Tools●●Solid
SafeRun – Replay debugging and inline prevention for AI agents
Replay-first architecture beats LangSmith's static traces for debugging non-deterministic agents.
Ship ItSolve My Problem
Tidianez
1114d ago
Developer Tools●●●Banger
Time-travel debugging and side-by-side diffs for AI agents
Replay, fork, diff, eval agent traces locally—like Git for agent behavior, fills a real gap.
Solve My ProblemShip ItBig Brain
hireclay
103mo ago
AI/ML●●●Banger
Time Machine – Debug AI Agents by Forking and Replaying from Any Step
Fork from step 8 and replay downstream — saves money when agents fail at step 9.
Solve My ProblemZero to One
deva00
212mo ago
Developer Tools●●Solid
Reticle – Postman for AI Agents
Local-first Postman for AI agents when LangSmith requires cloud accounts.
Solve My ProblemCozyShip It
alchaplinsky
232mo ago
Security●●Solid
Vectimus – Cedar policy enforcement for AI coding agents
Cedar policies block `terraform destroy` before AI agents execute it.
Big BrainShip It
JXavierH
322mo ago