bug-bounty491
google329
xss286
microsoft266
facebook228
rce182
apple155
exploit150
malware121
account-takeover110
bragging-post102
cve97
csrf86
privilege-escalation82
authentication-bypass66
stored-xss65
phishing64
writeup63
browser58
reflected-xss57
dos57
react53
ssrf52
supply-chain51
access-control51
input-validation49
cloudflare48
cross-site-scripting48
aws48
node48
reverse-engineering46
sql-injection45
smart-contract45
ethereum44
docker44
web-application43
web-security43
defi43
oauth42
web340
lfi39
burp-suite36
idor36
vulnerability-disclosure35
race-condition35
html-injection33
smart-contract-vulnerability32
csp-bypass32
clickjacking31
info-disclosure31
0
4/10
Side-by-side code comparison of implementing the same chat application with tool-calling and streaming across four AI frameworks (Pydantic AI, LangChain, LangGraph, CrewAI), showing implementation complexity and design patterns from ~160 to ~420 lines.
ai-frameworks
langchain
langgraph
pydantic-ai
crewai
code-comparison
llm-agents
tool-calling
fastapi
websocket
async-python
Pydantic AI
LangChain
LangGraph
CrewAI
FastAPI
Next.js
PostgreSQL
OpenAI
Vstorm OSS