Ad-hoc manual evaluations couldn't keep pace with rapid AI iteration. Scoring updates against real developer PRs cut negative rules.
A software development platform building an automated code reviewer that countless developers rely on for accurate pull request feedback.
The engineering team struggled to ensure their models consistently provided actionable and relevant suggestions. Their ad-hoc manual evaluation...
AI code review platform and developer workflow tools for engineering teams.
AI observability and evaluation platform that helps developers build, test, and monitor LLM-powered applications.
Graphite's Code review is part of this use case:
Related implementations across industries and use cases
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Standard tools mislabeled 1 in 5 reviews. By routing tasks to specialized models, the system now delivers trusted, nuanced insights.
Teams couldn't manually review hundreds of daily AI hotel calls. Audio models now evaluate raw recordings, routing exceptions to humans.
Standard tools mislabeled 1 in 5 reviews. By routing tasks to specialized models, the system now delivers trusted, nuanced insights.
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Ad-hoc manual evaluations couldn't keep pace with rapid AI iteration. Scoring updates against real developer PRs cut negative rules.
A software development platform building an automated code reviewer that countless developers rely on for accurate pull request feedback.
The engineering team struggled to ensure their models consistently provided actionable and relevant suggestions. Their ad-hoc manual evaluation...
AI code review platform and developer workflow tools for engineering teams.
AI observability and evaluation platform that helps developers build, test, and monitor LLM-powered applications.
Graphite's Code review is part of this use case:
Related implementations across industries and use cases
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Standard tools mislabeled 1 in 5 reviews. By routing tasks to specialized models, the system now delivers trusted, nuanced insights.
Teams couldn't manually review hundreds of daily AI hotel calls. Audio models now evaluate raw recordings, routing exceptions to humans.
Standard tools mislabeled 1 in 5 reviews. By routing tasks to specialized models, the system now delivers trusted, nuanced insights.
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.