'regression' 검색 결과

Trace failing cmux Swift package tests to the commits that introduced them by running older revisions in CI, the automated testing environment. It helps distinguish outdated expectations, code regressions, and intermittent failures, then guides focused fixes and verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a package suite failing on main
• Finding the PR that first broke a test
• Distinguishing outdated tests from code regressions

Write regression tests that catch recurring bugs in FastMCP changes using pytest. Covers reproducing failures before a fix, testing requests without a network server, and checking outgoing requests while replacing external services with test substitutes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reproducing a bug before testing its fix
• Testing MCP behavior without a network server
• Checking requests sent to external services

Add Storybook stories, examples of component states, for the Kilo VS Code extension UI. The existing Playwright runner turns them into screenshot comparisons to check visual changes across states and widths.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add screenshot coverage for chat or settings screens
• Check layouts at 420px and 200px widths
• Show permission requests using mock data

Refine a game feature or area through performance measurement, visual and audio polish, and stress and regression testing. Report before-and-after metrics, remaining issues, and release readiness, with work limited to the enabled team roles.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify performance bottlenecks in combat
• Refine particle effects and shaders
• Review sound feedback and audio mixing

Build Handsontable demo pages for visual regression tests, which compare screenshots for appearance changes. It guides feature routes, URL-driven display states, sample data, and decisions about testing the same feature across framework wrappers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a demo route for a new feature
• Creating multiple visual states through URL parameters
• Planning visual coverage across framework wrappers

Review Apache ShardingSphere pull requests or authorized downstream changes using repository evidence. Assess code correctness, merge readiness, or CI failures, then produce consolidated findings or a ready-to-copy reply to a review discussion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review code changes for correctness and regression risks
• Assess whether a pull request is ready to merge
• Investigate CI failures

Evaluate AI agent outputs with code checks and model-based grading. Run repeated trials to measure reliability, compare prompts or models, and check whether changes reduce quality, with saved transcripts for reviewing the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing two prompts on the same test cases
• Checking quality after agent configuration changes
• Turning real failures into repeatable evaluation cases

Save a page's SEO settings and compare them with later versions to detect changes after updates or deployments. Review differences in titles, headings, indexing controls, structured data, and available performance metrics, with severity levels and stored comparison history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare SEO settings before and after deployment
• Check for unintended title or heading changes
• Investigate page changes after a traffic drop

Implement an authorized fix for a reviewed security issue, check the plan against current code, and add regression tests to catch recurrence. Verify affected components and open a pull request that closes the issue while respecting disclosure rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing an approved security remediation plan
• Rechecking a reviewed fix against current code
• Adding regression tests for a security boundary

Triage incorrect MNN outputs and regressions by matching symptoms to focused debugging guides. Use backend comparisons, minimal reproductions, and controlled experiments to investigate memory issues, quantization, concurrency, numeric limits, caches, and inconsistent results across runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating garbled or degraded MNN output
• Comparing results across execution backends
• Tracking regressions after optimization changes

Analyze failures in CI, the automated checks run during development. Identify the failing job and step, classify the likely cause, and suggest a small fix, continued monitoring, or human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identifying failed jobs and steps in CI
• Distinguishing intermittent failures from code regressions
• Routing environment failures to a human

Assess a fixed patch or pull request diff before merging. Trace affected behavior, evaluate regression risks, tests, and recovery options, then provide an evidence-based recommendation and advisory automatic-merge eligibility without modifying or merging the patch.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess a generated patch before merging
• Trace how a pull request affects production behavior
• Evaluate tests and rollback options

Investigate a bug's root cause, implement a focused repair, and verify the same behavior before and after the change. Select lasting regression tests, preserve reproduction evidence, and record the corrected user journey when possible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating and fixing a bug without an existing candidate PR
• Proving a repair with failing-then-passing tests
• Consolidating regression checks into existing tests

Investigate Bifrost GitHub issues by examining reports, related code, and library documentation. Produce an implementation plan with impact analysis and regression tests, including a demonstrated failing test for bugs before requesting approval to fix them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating the cause of a reported bug
• Planning implementation for a feature request
• Assessing effects on APIs, UI, and dependent code

Review a branch, pull request, or uncommitted changes for interface problems involving accessibility, layout, text, typography, and color. The report distinguishes newly introduced issues, regressions, and existing problems, including effects on screens that use changed components.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review interface changes in a pull request
• Check whether shared component changes affect other screens
• Find accessibility regressions before merging

Handle one known local bug or testable bug hypothesis through reproduction, independent validation, repair, and regression checks. Produce a local patch commit and evidence reports that help reviewers judge whether the fix is ready.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate and repair one reported local bug
• Have separate agents verify reproduction and the fix
• Prepare evidence reports for patch review

Build and run systems before and after a change, then execute the same reproduction procedure against both. Save environment details, inputs, commands, and separate logs to document observed behavior and any setup blockers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare behavior before and after a change
• Create a portable procedure to reproduce a suspected defect
• Record environments, commands, and execution logs

Compares code relationships before and after a branch, pull request, or release change using Trailmark. Flags structural security regressions, such as removed authorization checks or newly reachable sensitive operations, and provides evidence for reviewers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking structural security changes before merging a PR
• Reviewing call paths after a security fix
• Assessing attack surface changes in a release

Validate security patches by comparing vulnerable and patched code against exploit tests, related attack variants, and normal behavior. Produce reproducible logs showing remaining flaws, regressions, newly introduced security failures, and gaps that still need testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validate an AI-generated security patch before review
• Check related attack variants for incomplete fixes
• Check whether a fix breaks normal behavior

Assess a fixed code patch for behavior changes, regression risks, test coverage, and recovery options. Receive an evidence-based report and structured assessment indicating whether it is ready to merge and qualifies as an automatic merge candidate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing the risks of an AI-generated patch
• Checking affected behavior before merging a pull request
• Assessing whether tests protect changed behavior

Review Python changes against shared team standards to find bugs, missing regression tests, and security issues. Findings are ordered by severity and include file names and line numbers so reviewers can locate each problem.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing Python changes before merging
• Checking that bug fixes include regression tests
• Finding unsafe SQL and exposed secrets

Compare Sentry issues across selected time windows and releases to find new or recurring problems and changes in frequency or affected users. Prioritize findings using user impact and the strength of available evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare issues before and after a release
• Find recurring issues and frequency changes
• Prioritize issues by affected users

Test browser games through repeatable game states and short real playthroughs. Check controls, progression, saves, device layouts, and visible feedback, then report bugs with reproduction steps, severity, and browser evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Gameplay checks before release
• Regression testing after game updates
• Touch controls and mobile layout checks

Implement and tune Three.js game cameras so players, threats, and objectives stay readable. Covers smooth following, isometric views, zoom and orbit limits, obstruction handling, target lock-on, camera shake, touch controls, and checks for regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tuning follow cameras and isometric framing
• Keeping players visible around walls and tall props
• Adding lock-on behavior and temporary camera shake