Braintrust
braintrust.devActive observability for inspecting agent traces and discovering production behavior patterns.
Active observability for inspecting agent traces and discovering production behavior patterns.
Automatically records coding activity in developers’ editors and summarizes time by project.
Use a vendor-neutral API specification to evaluate feature flags through compatible SDKs and providers.
A design skill that helps AI coding agents build and refine user interfaces.
An AppSec workflow that tests running applications and helps coding agents find, fix, and verify exploitable issues before a pull request.
Assess practical skills and interview candidates through a connected technical-hiring platform.
Fit, evaluate, and reuse Python models for common supervised and unsupervised machine-learning tasks.
Agent tracing, online evaluation, and alerts for monitoring production AI behavior.
Enterprise platform for testing, monitoring and evaluating AI systems in production
AI developer platform with Opik for LLM observability, evaluation, and agent debugging.
AI evaluation, deployment and public consequences
A local desktop IDE for running coding-agent CLIs and reviewing their project changes.
Code documents and images, retrieve related passages, and organize qualitative findings.
Turns rough ideas into clear specs for AI coding agents
Open-source AI coding agent that works inside your IDE and can run on your own infrastructure.
Governor grounds coding agent requests in your code and routes them to the best model
Invisible AI interview assistant with real-time help for live interviews and coding tests.
Online coding assessment platform for AI and ML engineering roles
Trace LLM and agent runs, then monitor production quality, latency, errors, and cost in dashboards.
A managed cloud database for transactional SQL, analytics, and multi-model workloads.
Applicant tracking with reusable evaluation forms on candidate records
Open-source tracing and production evaluation for LLM applications and agents.
Trace, analyze, and improve LLM and agent applications in a hosted or self-managed workspace.