
High-performance AI agents are distributed systems
A technical case study on making FixBugs faster by treating LLM agents like distributed systems: chunking, streaming, queues, token math, and concurrency limits.
Kirti Rathore
11 min read
5 articles found

A technical case study on making FixBugs faster by treating LLM agents like distributed systems: chunking, streaming, queues, token math, and concurrency limits.
Kirti Rathore
11 min read
Well-configured alerts connect the symptom to traces, logs, deploys, and the suspect commit.
Kirti Rathore
6 min read

Most people who land on fixbugs.ai still think we fix GitHub issues. That framing is wrong, and it's our fault. This is where debugging actually happens — the IDE, the issue tracker, the observability pipe — and what a debugging agent has to see to be useful.
Kirti Rathore
7 min read
Key insights and strategies from my PyDelhi talk on building high-performance LLM agents that can process gigabytes of data and deliver results in under a minute, with lessons learned from optimizing FixBugs.
Kirti Rathore
2 min read
Try the FixBugs auto-triage and fix tool right from your browser!
Kirti Rathore
3 min read