How gen_ai.invoke_agent spans revealed one tool was dumping 7x more output than its siblings. The fix: pagination + a token budget guard. 42% output reduction, 21% faster agent.
5-agent Bedrock pipeline lagged: IAMAnalyzer output 27KB JSON triggering retry; pagination + token budget cut 42%. Silent retries cascade through multi-agent pipelines; output sizing per tool protects token budgets and latency predictability.
This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry.
Project Overview
I built an AWS Security Posture Agent: five specialist AI agents that scan your AWS account for security misconfigurations, map findings to CIS benchmarks, score risk, and generate copy-paste fix commands.
The agents run sequentially on CrewAI with Amazon Bedrock Nova Pro as the LLM:
1. ResourceDiscovery → inventories EC2, S3, Lambda, IAM, SGs, API GW, DynamoDB
This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry. ...
What happened when I tried to deploy a CrewAI agent to AWS Bedrock AgentCore. Every error was a 200 OK. Every fix took hours to…
After every coding session I run a 4-agent parallel audit on the diff I just shipped. A recent...
This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry. ...
I thought running agent sessions in parallel would multiply productivity. What I actually got, in the space of one week, was a…
I spent 9.3M tokens on a 109-agent code audit so you don't have to The short version: I...
