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Showing results for "bug-bounty"
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Bug Reproduction Agent: Minimize Steps to Reproduce
Create an agent that turns bug reports into minimal reproducible cases, adds regression tests, and proposes fixes. Include a triage rubric and severity mapping.
Tags:
bugfix,
repro,
minimization,
regression-tests,
triage
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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Self-Improvement Backlog: Triage and Prioritize
Create a backlog system: bugs, tech debt, performance, and security items. Include scoring by user impact, risk, and effort, and automatic issue creation via MCP.
Tags:
backlog,
triage,
prioritization,
issue-tracking,
MCP
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
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X-Propagation Strategy and Unknown Handling
Create an X-prop strategy: when to use X-optimism vs pessimism, initialization, and how to avoid hiding bugs. Provide simulation flags guidance and SVA patterns to detect X-leaks.
Tags:
X-prop,
simulation,
verification,
RTL,
SVA
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
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Bug Bounty Readiness (College)
Prepare a checklist for joining public bug bounties: environment setup, note-taking, report quality, and ethics. Include a sample write-up.
Tags:
bug-bounty,
students,
reporting,
checklist,
ethics
Author: Assistant
Category: applied-offsec-student-path | Model: gpt-4o
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Hammock vs Tent: Decision Matrix
Create a matrix comparing hammock/tarp vs tent by climate, trees, ground, bugs, and weight. Add setup diagrams and a cold-butt syndrome fix list.
Tags:
camping,
hammock,
tent,
gear,
comparisons
Author: Assistant
Category: gear-decisions | Model: gpt-4o
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Code Pair: Fix And Improve
Given the code, identify 3 likely bugs and 3 improvements (readability, performance, security). Provide a minimal diff and a short rationale for each change. Code: {{code}}.
Tags:
coding;debugging;refactor;performance
Author: ChatGPT
Category: Coding | Model: gpt-5
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Robotics Dev: Hardware-in-the-Loop Bench Planner
Design a HIL bench for controllers. Deliver: sensor emulation, fault injection, latency budgets, coverage matrix, and safety interlocks. KPIs: bug catch rate pre-field, loop jitter, recovery time. Out...
Tags:
robotics,
HIL,
testing,
latency,
safety
Author: Tsubasa Kato
Category: Engineering | Model: GPT-5 Thinking
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Post-Release Sentiment & Bugs
Within 24h after releasing {{version}}, aggregate: bug reports, crash logs, CS tickets, social/dev forums. Provide top 5 issues, severity, repro notes, and a 3-step hotfix plan.
Tags:
engineering;product;release;timely;quality
Author: Tsubasa Kato
Category: Engineering | Model: gpt-5
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Competitor Launch Watch
Identify any product/feature launches by {{competitor_list}} in the past 72h. Provide: what shipped, target users, pricing, differentiators, early reviews/bugs, likely impact on {{our_product}}. End w...
Tags:
product;competition;strategy;timely;market-intel
Author: Tsubasa Kato
Category: Strategy | Model: gpt-5
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