bug-bounty505
xss268
rce153
google149
bragging-post117
facebook112
microsoft112
account-takeover111
exploit91
malware88
csrf86
privilege-escalation85
open-source81
cve80
authentication-bypass80
stored-xss75
reflected-xss63
apple63
web-security63
ai-agents63
access-control63
phishing58
input-validation53
sql-injection49
cross-site-scripting49
defi48
smart-contract48
ssrf46
ethereum45
reverse-engineering45
api-security44
writeup43
information-disclosure43
tool40
dos40
web-application38
privacy38
vulnerability-disclosure37
cloudflare37
web337
browser37
burp-suite37
automation35
lfi34
opinion34
llm34
html-injection33
responsible-disclosure33
supply-chain33
race-condition33
0
6/10
technical-writeup
Mendral describes how they built a specialized CI/CD debugging AI agent that outperforms generalist LLM coding assistants by combining domain-specific context (log ingestion, historical failure patterns, repository metadata) with a custom multi-agent architecture using different Anthropic models (Haiku, Sonnet, Opus) for different cognitive tasks, routed through a custom Go backend with Firecracker VM sandboxing.
ai-agents
llm
ci-cd
log-analysis
agent-architecture
multi-agent-systems
model-routing
anthropic-claude
observability
debugging
production-deployment
Mendral
Claude
Anthropic
PostHog
Luminai
Docker
Dagger
ClickHouse
Firecracker
Blaxel
Go
LangChain
LangGraph
GitHub