FrontierThe story, in brief
Beyond 100K Tokens: Evaluating AI Agents in Long-Context Software Engineering
Beyond 100K tokens. Salesforce just released the benchmark that proves whether AI agents can actually code at enterprise scale.
The KeyNews take
Why it matters
As codebases balloon to millions of lines, context-window capability becomes the differentiator between toy models and production-ready agents. LoCoBench-Agent gives founders and CTOs a standardized way to measure which models can handle real software engineering work.
The key facts
6 to knowBenchmark name: LoCoBench-Agent
Focus: AI agent evaluation in long-context software engineering tasks
Context range: Beyond 100K tokens
Use case: Coding assistants on large, million-line codebases
Source: Salesforce Research
Category: Model capability evaluation for code reasoning and generation
Go to the source
Salesforce Blogsalesforce.com
Publisher excerpt: As codebases grow to millions of lines of code, can AI agents still understand, reason, and code effectively? LoCoBench-Agent delivers the answer: a comprehensive benchmark for evaluating AI coding assistants across contexts ranging…