bug-bounty544
xss320
rce192
google177
exploit168
facebook146
microsoft132
account-takeover126
malware124
privilege-escalation122
bragging-post121
cve108
open-source100
authentication-bypass97
csrf95
phishing77
access-control77
stored-xss75
writeup74
web-security70
ai-agents69
reflected-xss63
browser61
apple60
ssrf58
ai-security57
input-validation56
reverse-engineering55
information-disclosure53
api-security52
sql-injection51
privacy50
smart-contract49
cross-site-scripting49
supply-chain48
tool48
defi48
vulnerability-disclosure47
ctf47
lfi46
ethereum45
dos44
remote-code-execution42
race-condition41
credential-theft40
llm40
automation38
web-application38
pentest37
opinion37
0
3/10
research
This article defines and analyzes the architecture of AI agent harnesses—the non-model components (filesystems, tools, sandboxes, memory systems, orchestration logic) that make LLMs functionally useful as autonomous agents. It derives harness design patterns by working backward from desired agent behaviors.
ai-agents
llm-architecture
prompt-engineering
agent-design
tool-use
code-execution
sandbox
state-management
memory-systems
system-design
Vivek Trivedy
ReAct
Context7
AGENTS.md