Results for “analyze”

Parse, analyze, and process SARIF files from static analysis tools like CodeQL and Semgrep, including filtering, deduplication, aggregation, and CI/CD integration.

Analyzes cryptographic code to detect operations that leak secret data through execution timing variations, supporting multiple languages.

Analyzes production code to find gaps in existing tests by reasoning about hypothetical mutations and checking whether tests would catch them.

Analyzes .NET test suites for duplicated boilerplate, copy-paste tests, and structural maintainability issues, producing a report with concrete before/after refactoring suggestions.

Analyze content sequences within a single section of a page for AEM Edge Delivery Services, providing neutral descriptions without assigning block names.

Migrate deprecated and removed Java imports, Maven dependencies, and unmodifiable OSGi configs to comply with AEM as a Cloud Service enforcement policies.

Analyze Azure resources and IaC files to identify cost optimization opportunities, calculate savings, and create GitHub issues for tracking.

Analyze existing code files to generate a project-specific coding standards document, with options for templates, README insertion, and inconsistency detection.

Analyze conversation intent and entities using the Azure AI Language Conversations Python SDK with best practices for authentication and error handling.

Analyzes test suites across multiple languages and tags each test with standardized traits (positive, negative, critical-path, etc.) for better test categorization and coverage visibility.

Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness, providing detailed improvement recommendations with frameworks, testing methodologies, and educational content.

Analyze images using Azure AI Vision SDK: generate captions, tags, detect objects, extract text (OCR), detect people, and suggest smart crops.

Analyzes Android apps to identify user workflows for AppFunctions, generates Kotlin code to expose them to the Android system, and refines KDoc documentation for AI agent compatibility.

Analyze CJA dimensions for cardinality, distribution, trends, anomalies, data quality, comparisons, and forecasting, producing an interactive HTML dashboard or markdown report.

Analyzes project folder structures, auto-detects technology stacks, and generates detailed blueprints with naming conventions, file placement patterns, and templates for consistent code organization.

Analyzes smart contract codebases against Trail of Bits' secure development guidelines, generating documentation, reviewing architecture and upgradeability patterns, assessing implementation quality, identifying pitfalls, and providing prioritized recommendations.

Analyzes multi-step conversion funnels in Adobe Analytics to identify visitor drop-off points, compute step conversion rates, and pinpoint the worst leakage steps.

Analyze a repository to generate recommended Claude Code settings.json permissions for read-only commands, detecting tech stack, build tools, and monorepo structure.

Analyzes a website's current design and user intent to produce a structured redesign specification, including product and design documents, a design system JSON, and a reasoning trace.

Design Azure infrastructure using natural language or analyze existing resources to generate architecture diagrams, refine them through conversation, and deploy with Bicep.

Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified, identifying all affected downstream tables, dashboards, and processes.

Analyzes .NET project code coverage and CRAP (Change Risk Anti-Patterns) scores to identify risk hotspots, methods blocking coverage gains, and prioritize where to add tests.

Analyze text and images for harmful content using Azure AI Content Safety SDK for Java. Supports hate, violence, sexual content, and self-harm detection with blocklist management.

Performs deep root cause analysis on NVIDIA TAO Visual ChangeNet classification experiments, using image-evidence-driven investigation to diagnose model failures and produce actionable reports.

Analyze git repositories to build a security ownership topology mapping people to files, compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization.

Detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using the Resemble AI platform.

Analyzes differences between two project versions to generate precise migration instructions for GitHub Copilot, enabling consistent code transformations during technology migrations, refactoring, or framework upgrades.

Identifies state-changing entry points in smart contract codebases for security auditing. Detects externally callable functions that modify state, categorizes them by access level, and generates structured audit reports.

Analyze text with Azure AI Language service for sentiment, entities, key phrases, language detection, PII redaction, and healthcare NLP using the Python SDK.

Analyzes a multi-step conversion funnel in Adobe Customer Journey Analytics to find where users drop off and which steps have the worst leakage.

Analyze content sequences from page structure to determine whether each should be default content or a specific block, and validate block selection for AEM Edge Delivery Services imports.

Generate tailored AI agent instruction files for VS Code Copilot and other coding agents, using AgentRC to analyze your codebase and produce flat or nested instruction files with optional per-area scoping.

Debug LLM applications using the Phoenix CLI: fetch traces, analyze errors, structure trace review with open and axial coding, inspect datasets, review experiments, and query the GraphQL API.

Analyze and create a testing strategy for native Android apps, including installing testing libraries, setting up test infrastructure, and creating harnesses for unit tests, UI tests, screenshot tests, and end-to-end tests.

Import a single webpage from any URL into canonical EDS block format — structured HTML that authors edit in DA. Scrapes the page, analyzes structure, maps to existing blocks, and generates HTML for immediate local preview.

Extract false-positive and false-negative gaps from VLM binary-classification-question predictions by comparing model responses against ground truth, producing a structured JSONL file and summary report for downstream root-cause analysis.