𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗔𝗿𝗲 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
LLMs are slow. You stare at a spinner. Ten minutes of waiting feels like a crash.
AI agents need distributed systems engineering. Use patterns like scatter-gather. Use pipelining.
Stop putting all context into one prompt. Split the work. We checked files in parallel. This cut time from 10 minutes to 40 seconds.
Use streaming to make agents feel alive. It lowers time to first token. This improves user experience.
Build a pipeline. Separate the work into stages:
- Analysis
- Reproduction
- Root cause
- Fix
- Validation
Use message queues. This stops one slow step from blocking everything.
Pick models by stage. Use cheap models for broad scans. Use strong models for hard logic.
Follow these rules:
- Know your workload.
- Reduce tokens.
- Use parallelism.
- Use pipelines.
- Expect failures.
Source: https://dev.to/kirtivr/high-performance-ai-agents-are-distributed-systems-4c4g Optional learning community: https://t.me/GyaanSetuAi