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Srineesh srineesh

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  • Cognizant Technologies
  • India
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Security Checklist (What can be done in CursorAI & software-level not infrastructure!)

Configuration Security

  • Detect secrets in code
  • Identify secrets committed to version control
  • Flag hardcoded credentials

Authentication & Authorization

  • Identify missing authentication checks
  • Detect improper authorization patterns
@renschni
renschni / Manus_report.md
Last active April 27, 2025 06:39
In-depth technical investigation into the Manus AI agent, focusing on its architecture, tool orchestration, and autonomous capabilities.

I wrote an in-depth research prompt to conduct a GPT-Deep-Research on the Manus topic, seeking to replicate it with currently available open source tools. This is the result:

TLDR: Manus AI Agent Report

Manus is an autonomous AI agent built as a wrapper around foundation models (primarily Claude 3.5/3.7 and Alibaba's Qwen). It operates in a cloud-based virtual computing environment with full access to tools like web browsers, shell commands, and code execution. The system's key innovation is using executable Python code as its action mechanism ("CodeAct" approach), allowing it to perform complex operations autonomously. The architecture consists of an iterative agent loop (analyze → plan → execute → observe), with specialized modules for planning, knowledge retrieval, and memory management. Manus uses file-based memory to track progress and store information across operations. The system can be replicated using open-source components including CodeActAgent (a fine-tuned Mistral model), Docker for sandbox

@yifanzz
yifanzz / code-editor-rules.md
Created December 17, 2024 00:01
EP12 - The One File to Rule Them All

[Project Name]

Every time you choose to apply a rule(s), explicitly state the rule(s) in the output. You can abbreviate the rule description to a single word or phrase.

Project Context

[Brief description ]

  • [more description]
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