Prompt Details
Model
Chat - (gpt-5.5)
Token size
675
Example input
[INPUT_CODE]: import pymysql password = "MinhaS3nha123" host = "192.168.1.50" user = "root" def pega_usuario(id): con = pymysql.connect(host=host, user=user, password=password, database="sistema") cur = con.cursor() query = "SELECT * FROM usuarios WHERE id = " + str(id) cur.execute(query) res = cur.fetchall() return res def calcula_desconto(preco, desconto): return preco / desconto def salva_log(msg): f = open("log.txt", "a") f.write(msg)
Example output
Enterprise-level code audit pipeline combining Security (OWASP), Architecture (SOLID), and Performance (Big O) analysis. Produces a quantitative score, traces every flaw by ID, reconstructs production-ready code, and generates a deployment checklist. Built for engineers who need precision, not opinions.
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GPT-5.5
Enterprise-level code audit pipeline combining Security (OWASP), Architecture (SOLID), and Performance (Big O) analysis. Produces a quantitative score, traces every flaw by ID, reconstructs production-ready code, and generates a deployment checklist. Built for engineers who need precision, not opinions.
...more
Added 1 week ago
