“bugs”的搜索结果

通过实际浏览器操作网页和应用，检查界面显示与运行情况。结合截图、简单表单填写、错误及网络请求记录，帮助复现问题并确认操作结果。

• 检查界面修改后的显示效果
• 读取由JavaScript渲染的内容
• 复现界面问题并记录错误

按共同根本原因整理GitHub中积累的故障报告，建立父议题和设计文档，并协助将相关修复与防止问题复发的测试合并到一个拉取请求。

• 合并具有共同原因的故障报告
• 根据未处理议题制定修复计划
• 将新故障归入已有计划

检查Ant Design的GitHub议题，区分缺陷与功能请求，整理回复草稿、标签调整和关闭建议，并在用户确认完整方案后执行操作。

• 回复尚未得到回应的议题
• 区分缺陷与功能请求
• 核查dosubot的回答

协助维护VoiceStudio，整理缺陷报告、审查提交的变更、调查自动检查失败，并准备发布，推进Electron应用和Python后端的修复、测试与分发前验证。

• 调查VoiceStudio缺陷
• 审查贡献者的拉取请求
• 调查自动检查失败原因

Connect Claude to external apps through Composio to send emails, create issues, post messages, and update data. It also supports linked tasks, such as summarizing GitHub issues and posting the results to Slack.

中文简介正在准备中。当前显示英语简介。

• Send an email through Gmail
• Create a GitHub issue with a label
• Post a deployment update to Slack

Analyze all open GitHub issues and pull requests, then produce reports backed by links to specific code commits. Assess bugs, feature requests, and merge readiness without changing anything on GitHub.

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• Reviewing a backlog of open issues and pull requests
• Checking whether reported bugs are already fixed
• Assessing pull request readiness for merging

Test app interfaces on an Android emulator using ADB, a command-line device tool. Inspect element positions, perform taps and text entry, then check screenshots and React Native logs to verify behavior and investigate layout or interaction bugs.

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• Verify app interfaces after UI changes
• Investigate layout and interaction bugs
• Check feature behavior through automated interactions

Capture unexpected behavior and workarounds encountered while using Prisma 8, Prisma Compute, or Prisma Postgres. Record symptoms, causes, versions, and reproduction steps in a local log linked to a Linear ticket, checking for duplicates first.

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• Recording an unexpected Prisma error and its workaround
• Documenting undocumented behavior found in an example app
• Preserving reproduction steps from a customer report

Explore a web application as a user to find reproducible bugs and usability problems. Produce a structured report with reproduction steps, screenshots, and videos for interactive issues, giving responsible teams concrete evidence to investigate.

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• Checking a web app's quality before release
• Testing forms and common user workflows
• Finding confusing interfaces and visual problems

Review Python code for common mistakes in error handling, asynchronous operations, type annotations, and tests. Use a practical checklist and correction examples to guide code reviews, investigate bugs, and improve existing implementations.

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• Reviewing Python code before a merge
• Investigating bugs caused by common coding mistakes
• Refactoring legacy Python code

Create technical documentation that people and AI can navigate by separating facts, context, known bugs, and uncertain claims. Convert existing Markdown to HADS, a structured documentation format, and check its required elements.

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• Write API documentation for people and AI
• Convert an existing README to HADS
• Check document structure and block formatting

Build and debug sglang tests comparing token probabilities during prompt processing and step-by-step generation. Separate numerical differences from reused-state bugs, choose test thresholds, and locate the first operation that diverges.

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• Adding probability consistency tests for a model
• Choosing or justifying a kl_div threshold
• Separating numerical differences from cache state bugs

Fix defects in Composio SDK through focused reproduction, root-cause analysis, regression tests that check for recurrence, and targeted verification. Use it for reported bugs, failing tests, CI regressions, runtime errors, or incorrect SDK behavior.

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• Reproducing and fixing reported SDK bugs
• Investigating failing tests
• Fixing regressions in automated CI checks

Reproduce Mastra Code bugs with a real model and compare timestamped logs across network, streaming, execution, and terminal interface layers. Use the evidence to locate timing problems, incorrect token rates, flicker, or stuck status displays.

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• Investigating incorrect token rate displays
• Reproducing intermittent bugs with a real model
• Tracing flicker or stuck status displays

Reviews pull requests for bugs, error handling, code quality, and style consistency. Organizes feedback into an overview, must-fix issues with file locations, improvement suggestions, and positive notes so reviewers can distinguish urgent problems from refinements.

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• Finding bugs that must be fixed before merging
• Reviewing TypeScript types and asynchronous code
• Checking naming, imports, and leftover debug statements

Coordinate QA agents to plan testing for a game development sprint or feature. Produce test cases, collect results from human testers, document bugs and visual evidence, and prepare a sign-off report based on recorded findings.

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• Planning QA for a sprint or game feature
• Preparing manual test cases from acceptance criteria
• Recording test results, bugs, and screenshot evidence

Compare existing game tests with key paths in the game design document, find fixed bugs without tests to catch recurrence, and identify coverage gaps from new features. Maintain a release checklist of existing tests.

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• Checking test coverage after a bug fix
• Auditing key gameplay paths before a release
• Finding test coverage gaps at sprint close

Create a game playtest report template or turn session notes into organized feedback. Separate gameplay problems from bugs, compare observations with design intent, and identify priorities for design changes, balance adjustments, and polish.

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• Preparing a playtest report template
• Organizing raw playtest notes
• Separating gameplay issues from bugs

Investigate Apache ShardingSphere issues using official documentation, code, tests, and issue discussions. Distinguish bugs, unsupported usage, duplicates, and enhancement requests, then draft a concise maintainer-style reply explaining the evidence and next action.

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• Distinguish bugs from unsupported configurations
• Check whether an issue duplicates an earlier report or fix
• Draft a GitHub issue reply with clear next steps

Review code for security risks, logic bugs, and performance problems. Receive specific feedback explaining the affected lines or patterns, why they matter, and how to fix them, with required changes separated from optional improvements.

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• Reviewing code changes before merging a pull request
• Checking input validation, access controls, and secret handling
• Finding inefficient queries and blocking operations

Review GitHub pull requests with specialized agents that check for clear bugs and violations of project instructions in CLAUDE.md. Validate bug findings before posting focused comments on the affected lines, with fix suggestions where appropriate.

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• Reviewing a pull request for clear bugs
• Checking changes against CLAUDE.md rules
• Posting validated findings on affected lines

Diagnose errors and incorrect inference results in MNN's QNN backend for Qualcomm HTP processors. Compare intermediate calculation data against CPU results to locate the first faulty operator, distinguish bugs from precision limits, and guide operator support and performance fixes.

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• Investigate QNN runtime and model conversion errors
• Find the first operator producing incorrect results
• Distinguish implementation bugs from numerical precision limits

Turn GitHub issue reports into actionable work by searching for duplicates, attempting reproduction, and assessing user impact. Organize issues with existing labels, appropriate owners, and milestones, while clearly recording what was and was not verified.

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• Assessing newly reported GitHub issues
• Finding duplicate reports and recurring bugs
• Reproducing bugs and recording the results

Review code changes and files for bugs, security risks, performance problems, design issues, and test coverage. Receive a structured report with prioritized findings, concrete improvement examples, positive feedback, and an overall review verdict.

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• Reviewing a pull request
• Auditing code quality and security
• Finding refactoring opportunities