{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-https-aws-amazon-com-codewhisperer","slug":"https-aws-amazon-com-codewhisperer","name":"https://aws.amazon.com/codewhisperer/","type":"agent","url":"https://aws.amazon.com/q/developer/build/?trk=fd6bb27a-13b0-4286-8269-c7b1cfaa29f0&sc_channel=el","page_url":"https://unfragile.ai/https-aws-amazon-com-codewhisperer","categories":["code-editors"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_0","uri":"capability://code.generation.editing.ide.integrated.real.time.code.completion.with.project.context","name":"ide-integrated real-time code completion with project context","description":"Generates code completions and suggestions within VS Code, JetBrains IDEs, Visual Studio, and Eclipse by analyzing the current file and optional workspace context via the @workspace command. Uses cloud-hosted inference to produce contextually-aware completions that adapt to project patterns, coding style, and framework conventions. Integrates directly into the IDE's completion UI, providing inline suggestions without context-switching.","intents":["I want autocomplete that understands my project's architecture and coding patterns","I need faster code writing with fewer keystrokes in my IDE","I want completions that respect my team's coding conventions and frameworks"],"best_for":["Individual developers using VS Code, IntelliJ, Visual Studio, or Eclipse","Teams standardizing on AWS development workflows","Developers working in large codebases who need context-aware suggestions"],"limitations":["Requires IDE extension installation and active internet connection to AWS","Context window size for multi-file analysis is undisclosed; may truncate large projects","Completion quality depends on project structure clarity and available documentation","No offline capability — all inference runs on AWS servers"],"requires":["VS Code 1.60+, IntelliJ IDEA 2021.1+, Visual Studio 2019+, or Eclipse 2021-06+","AWS account with Amazon Q Developer subscription (free tier or $19/month Pro)","Active internet connection to AWS","IDE extension installed from marketplace"],"input_types":["source code (current file)","project structure (via @workspace command)","user feedback and corrections"],"output_types":["code completion suggestions (inline)","multi-line code snippets","function signatures and boilerplate"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_1","uri":"capability://code.generation.editing.agentic.multi.step.code.generation.with.diff.based.review","name":"agentic multi-step code generation with diff-based review","description":"Executes multi-step coding tasks by decomposing user requests into subtasks, generating code changes, and presenting them as diffs for human review before application. The agent reads files, analyzes dependencies, generates modifications, and can iterate based on feedback. Uses a hybrid human-in-the-loop model where the agent proposes changes but requires explicit approval before writing to disk.","intents":["I want an AI to implement a feature across multiple files and show me the changes before applying them","I need to refactor code and see exactly what will change before committing","I want to generate boilerplate or scaffold new modules with review capability"],"best_for":["Developers implementing features that span multiple files","Teams requiring code review before AI-generated changes are applied","Refactoring tasks where visibility into changes is critical"],"limitations":["Agent reasoning mechanism (ReAct, tree-search, etc.) is undisclosed; behavior may be unpredictable","No automatic application of diffs — requires manual review and approval step","Multi-step task complexity limits are undocumented; may fail on deeply nested dependencies","Error recovery and retry logic are not specified; failed subtasks may require manual intervention"],"requires":["Amazon Q Developer IDE extension or CLI agent installed","AWS account with Pro tier ($19/month) or higher for agentic features","Read/write file permissions in the target directory","Active internet connection for cloud-based inference"],"input_types":["natural language task description","existing source code files","project structure and dependencies","user feedback on generated diffs"],"output_types":["unified diffs (git-style)","file modifications (staged, not applied)","explanations of changes made"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_10","uri":"capability://code.generation.editing.aws.service.specific.code.generation.and.api.integration","name":"aws service-specific code generation and api integration","description":"Generates code that integrates with AWS services (Lambda, DynamoDB, S3, IAM, etc.) by understanding AWS APIs, SDKs, and best practices. Provides completions and implementations that are AWS-aware, including proper error handling, authentication patterns, and service-specific configurations. Recognizes AWS-specific patterns and anti-patterns, enabling secure and efficient AWS application development.","intents":["I want code completions that understand AWS APIs and SDKs","I need to generate Lambda functions, DynamoDB queries, and S3 operations correctly","I want the agent to catch AWS-specific security issues and misconfigurations"],"best_for":["AWS-centric development teams","Organizations building serverless applications","DevOps teams managing AWS infrastructure"],"limitations":["Supported AWS services are not enumerated; coverage may be incomplete for newer services","AWS SDK versions and language support are undisclosed","Best practices may reflect AWS documentation at training time; may be outdated for new features","No real-time AWS API documentation integration; suggestions based on training data"],"requires":["Amazon Q Developer IDE extension or CLI agent","AWS account with appropriate IAM permissions","AWS SDK installed for target language (Python, Node.js, Java, etc.)","Familiarity with AWS services and APIs"],"input_types":["AWS service names and operations","SDK method signatures","configuration parameters","existing AWS code for context"],"output_types":["AWS SDK code (Python, Node.js, Java, etc.)","Lambda function implementations","IaC configurations (Terraform, CloudFormation)","API call examples with error handling"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_11","uri":"capability://code.generation.editing.multi.language.code.generation.with.language.specific.patterns","name":"multi-language code generation with language-specific patterns","description":"Generates code across multiple programming languages (Java, Python, JavaScript, TypeScript, C#, Go, Rust, etc.) with language-specific idioms, conventions, and best practices. Understands language-specific frameworks, package managers, and tooling to produce idiomatic code that fits naturally into existing projects. Adapts code style and patterns based on the project's existing language usage.","intents":["I want code completions that respect my language's idioms and conventions","I need to generate code in multiple languages for a polyglot project","I want the agent to understand language-specific frameworks and libraries"],"best_for":["Polyglot development teams using multiple languages","Organizations with language-specific best practices and conventions","Developers working across frontend, backend, and infrastructure code"],"limitations":["Supported languages are not enumerated; coverage may be incomplete for niche languages","Language-specific framework support depends on training data; newer frameworks may not be recognized","Code style adaptation relies on project analysis; inconsistent projects may yield inconsistent output","Language-specific security patterns may be incomplete or outdated"],"requires":["Amazon Q Developer IDE extension supporting target language","Language-specific tooling installed (compilers, interpreters, package managers)","Project with existing code in target language for style analysis"],"input_types":["source code in target language","language-specific configuration files","framework-specific patterns","package/dependency specifications"],"output_types":["idiomatic code in target language","framework-specific implementations","language-specific error handling","package/dependency declarations"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_2","uri":"capability://memory.knowledge.workspace.level.codebase.analysis.and.architecture.comprehension","name":"workspace-level codebase analysis and architecture comprehension","description":"Analyzes entire projects via the @workspace command to understand architecture, service dependencies, authentication flows, and data models. Scans multiple files simultaneously to build a semantic map of the codebase, enabling the agent to answer questions about how components interact and identify architectural patterns. Results are cached and reused across subsequent queries within the same session.","intents":["I want to understand the architecture of a large codebase I just inherited","I need to know how authentication flows through my microservices","I want to identify service dependencies and data flow across my project"],"best_for":["Developers onboarding to large or unfamiliar codebases","Architects documenting system design","Teams migrating or refactoring legacy systems"],"limitations":["Context window size for large projects is undisclosed; may truncate or summarize files","Analysis quality depends on code clarity and documentation; poorly-structured projects may yield incomplete results","No real-time updates — requires re-running @workspace to reflect recent changes","Supported file types and languages are not enumerated"],"requires":["Amazon Q Developer IDE extension or CLI agent","AWS account (free tier or paid)","Project files accessible locally or via IDE workspace","Sufficient project size to benefit from analysis (small projects may not require workspace analysis)"],"input_types":["entire project directory structure","source code files (all languages)","configuration files (package.json, requirements.txt, etc.)","documentation (README, comments)"],"output_types":["architectural summaries (text)","dependency graphs (implicit in responses)","component interaction descriptions","data flow explanations"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_3","uri":"capability://safety.moderation.automated.code.review.with.security.and.iac.vulnerability.detection","name":"automated code review with security and iac vulnerability detection","description":"Analyzes pull requests and code changes to identify bugs, security vulnerabilities, and Infrastructure-as-Code (IaC) misconfigurations. Integrates with GitHub and GitLab to review code before merge, flagging issues with explanations and severity levels. Uses pattern matching and semantic analysis to detect common vulnerability classes (SQL injection, credential exposure, misconfigured IAM policies, etc.) without executing code.","intents":["I want automated code review that catches security issues before they reach production","I need to detect IaC misconfigurations in Terraform or CloudFormation before deployment","I want to flag common bugs and anti-patterns in pull requests automatically"],"best_for":["Teams using GitHub or GitLab with security-conscious workflows","DevOps teams managing Infrastructure-as-Code","Organizations requiring automated security scanning in CI/CD pipelines"],"limitations":["Detection is pattern-based; may produce false positives or miss novel vulnerability classes","Does not execute code, so runtime vulnerabilities may be missed","IaC support limited to undisclosed set of providers (Terraform, CloudFormation mentioned; others unknown)","Review comments are suggestions only — no enforcement or auto-blocking of merges","Severity classification and confidence scores are not documented"],"requires":["GitHub.com, GitHub Enterprise Cloud, or GitLab Ultimate (self-managed)","Amazon Q Developer Pro tier ($19/month) or higher","Repository access and webhook permissions for PR integration","Pull request or merge request created in supported platform"],"input_types":["pull request diffs","changed files (source code and IaC)","commit messages","existing codebase context"],"output_types":["code review comments (inline on PR)","vulnerability descriptions","remediation suggestions","severity/priority indicators"],"categories":["safety-moderation","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_4","uri":"capability://automation.workflow.github.gitlab.issue.to.code.automation.with.autonomous.implementation","name":"github/gitlab issue-to-code automation with autonomous implementation","description":"Automatically implements features and bug fixes by reading GitHub/GitLab issues, understanding requirements, and generating pull requests with complete code changes. The agent can autonomously create branches, write code across multiple files, and open PRs for human review. Supports Java modernization workflows and multi-step SDLC tasks on GitLab Ultimate. Enables higher autonomy than chat-based workflows by directly integrating with issue tracking and version control.","intents":["I want to assign an issue to an AI agent and have it automatically create a PR with the implementation","I need to modernize legacy Java code automatically across a large codebase","I want to automate routine feature implementation to free up developer time"],"best_for":["Teams using GitHub or GitLab with high-volume issue backlogs","Organizations modernizing legacy Java applications","DevOps teams automating routine infrastructure changes"],"limitations":["Requires explicit issue assignment to trigger automation; no continuous monitoring of all issues","Generated PRs still require human review and approval before merge","Java modernization scope is undisclosed (version targets, refactoring patterns unknown)","GitLab support limited to Ultimate tier self-managed instances","No automatic merge capability — PRs are created but not merged"],"requires":["GitHub.com, GitHub Enterprise Cloud, or GitLab Ultimate (self-managed)","Amazon Q Developer Pro tier or higher","Repository write permissions for branch creation and PR opening","Issue tracking enabled in GitHub/GitLab","Webhook or API token configured for Amazon Q integration"],"input_types":["GitHub/GitLab issue descriptions and requirements","issue labels and metadata","existing codebase for context","branch naming conventions"],"output_types":["pull requests with complete code changes","commit messages","PR descriptions and change summaries","branch names"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_5","uri":"capability://tool.use.integration.cli.agent.for.terminal.based.file.operations.and.bash.command.execution","name":"cli agent for terminal-based file operations and bash command execution","description":"Provides a command-line interface for autonomous file I/O, bash command execution, and AWS API calls. The CLI agent can read/write files, execute shell commands, and invoke AWS services programmatically without IDE integration. Enables headless automation workflows and integration with CI/CD pipelines, scripts, and non-IDE environments. Operates as a separate binary/tool that communicates with AWS-hosted inference.","intents":["I want to automate file operations and bash commands via a CLI tool in my CI/CD pipeline","I need to call AWS APIs programmatically from a script or automation workflow","I want to use Amazon Q in environments without IDE support (servers, containers, scripts)"],"best_for":["DevOps engineers automating infrastructure and deployment tasks","CI/CD pipeline builders integrating AI into build workflows","Developers using non-IDE environments (remote servers, containers, headless systems)"],"limitations":["Bash execution runs with the permissions of the user running the CLI agent; no sandboxing specified","No built-in credential management for AWS APIs; requires external secret handling","CLI interface and command syntax are not documented in provided materials","Error handling and retry logic for failed commands are undisclosed","No persistent state between CLI invocations unless explicitly managed"],"requires":["CLI agent binary installed (platform and installation method unknown)","AWS account with Amazon Q Developer subscription","AWS credentials configured (via environment variables, IAM role, or config file)","Bash/shell environment (Linux, macOS, or Windows with WSL)","File system access to target directories"],"input_types":["natural language task descriptions","file paths and content","bash commands","AWS API parameters"],"output_types":["file contents (read/write)","bash command output (stdout/stderr)","AWS API responses","exit codes and status messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_6","uri":"capability://tool.use.integration.mcp.server.integration.for.custom.tool.registration.and.extension","name":"mcp server integration for custom tool registration and extension","description":"Supports Model Context Protocol (MCP) servers to extend Amazon Q with custom tools and integrations beyond built-in capabilities. Allows developers to register native and MCP server-based tools that the agent can invoke autonomously. Enables integration with proprietary systems, internal APIs, and specialized tools without modifying Amazon Q's core. Tool selection and invocation are managed by the agent's planning mechanism.","intents":["I want to extend Amazon Q with custom tools for my proprietary systems or internal APIs","I need to integrate Amazon Q with specialized tools my team uses","I want to register MCP servers to expand the agent's capabilities"],"best_for":["Enterprise teams with proprietary systems and custom tooling","Organizations building specialized AI workflows","Developers extending Amazon Q for domain-specific tasks"],"limitations":["MCP server implementation details and protocol specification are not provided in available documentation","Tool registration process and syntax are undocumented","No examples of custom tool creation or integration patterns provided","Tool invocation error handling and fallback behavior are unspecified","Security model for custom tools (sandboxing, permission scoping) is not documented"],"requires":["Amazon Q Developer IDE extension or CLI agent","MCP server implementation (language and framework unknown)","Network connectivity between Amazon Q and MCP server","Tool schema definition (format unknown)","AWS account with appropriate subscription tier"],"input_types":["MCP server configuration","tool schema definitions","tool invocation parameters"],"output_types":["tool execution results","structured responses from custom tools","error messages and status codes"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_7","uri":"capability://planning.reasoning.real.time.feedback.adaptation.and.iterative.refinement","name":"real-time feedback adaptation and iterative refinement","description":"Adapts code generation and task execution based on user feedback in real-time without requiring new prompts or context resets. When users correct, reject, or modify generated code, the agent incorporates this feedback into subsequent generations within the same session. Maintains conversation context across multiple iterations, enabling rapid refinement cycles without losing prior context or starting over.","intents":["I want to iteratively refine generated code by providing feedback without restarting the conversation","I need the agent to learn my preferences and coding style as I provide corrections","I want to guide the agent toward a solution through multiple feedback cycles"],"best_for":["Developers using chat-based workflows with Amazon Q","Iterative design and implementation processes","Exploratory coding where requirements evolve"],"limitations":["Feedback incorporation mechanism is undocumented; unclear how corrections are weighted vs. original instructions","Session context limits are unknown; very long conversations may lose early context","No explicit memory of feedback patterns across sessions — each session starts fresh","Feedback quality directly impacts output quality; ambiguous corrections may be misinterpreted"],"requires":["Amazon Q Developer chat interface (IDE or web-based)","Active session with the agent","Clear, specific feedback on generated code"],"input_types":["user corrections and modifications","approval/rejection signals","clarifications and additional requirements","code examples of desired output"],"output_types":["refined code generations","updated explanations","alternative implementations based on feedback"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_8","uri":"capability://text.generation.language.documentation.generation.and.data.flow.diagram.creation","name":"documentation generation and data-flow diagram creation","description":"Automatically generates or updates documentation (README files, API docs, architecture guides) and creates data-flow diagrams by analyzing the codebase. Extracts information about components, dependencies, and interactions to produce human-readable documentation and visual representations. Integrates with workspace analysis to understand project structure and generate documentation that reflects actual code organization.","intents":["I want to automatically generate README and API documentation from my codebase","I need to create architecture diagrams and data-flow visualizations without manual drawing","I want to keep documentation in sync with code changes automatically"],"best_for":["Teams with large codebases lacking documentation","Projects requiring frequent documentation updates","Organizations standardizing on automated documentation workflows"],"limitations":["Documentation quality depends on code clarity and existing comments; poorly-documented code yields poor documentation","Diagram format and visualization tool support are undisclosed","No automatic synchronization with code changes; requires manual re-generation","Customization options for documentation style and structure are unknown","Supported documentation formats (Markdown, HTML, etc.) are not enumerated"],"requires":["Amazon Q Developer IDE extension or CLI agent","AWS account with Pro tier or higher","Codebase with sufficient structure and comments for analysis","Write permissions to documentation files"],"input_types":["source code files","project structure","existing documentation (for updates)","user specifications for documentation scope"],"output_types":["Markdown documentation files","README content","API documentation","data-flow diagrams (format unknown)","architecture descriptions"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-https-aws-amazon-com-codewhisperer__cap_9","uri":"capability://text.generation.language.chat.based.conversational.code.assistance.with.context.persistence","name":"chat-based conversational code assistance with context persistence","description":"Provides a chat interface for conversational interaction with the code generation agent, maintaining context across multiple turns. Users can ask questions about code, request implementations, discuss design decisions, and refine outputs through natural language dialogue. Context from previous messages is retained within the session, enabling follow-up questions and iterative development without re-explaining context.","intents":["I want to have a conversation with an AI about my code and get suggestions interactively","I need to ask follow-up questions and refine code through dialogue","I want to discuss design decisions and explore alternatives conversationally"],"best_for":["Developers preferring conversational interaction over command-based workflows","Exploratory development and design discussions","Teams using Amazon Q for knowledge sharing and code explanation"],"limitations":["Chat context window size is undisclosed; very long conversations may lose early context","No persistent memory across sessions; each new chat starts with no prior context","Conversation quality depends on clarity of user questions; ambiguous queries may yield irrelevant responses","No built-in conversation history export or search functionality mentioned"],"requires":["Amazon Q Developer IDE extension or web-based chat interface","AWS account with free tier or paid subscription","Active internet connection to AWS"],"input_types":["natural language questions and requests","code snippets for discussion","clarifications and follow-up questions","design decision discussions"],"output_types":["conversational responses (text)","code suggestions and implementations","explanations and design rationale","alternative approaches and trade-offs"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.60+, IntelliJ IDEA 2021.1+, Visual Studio 2019+, or Eclipse 2021-06+","AWS account with Amazon Q Developer subscription (free tier or $19/month Pro)","Active internet connection to AWS","IDE extension installed from marketplace","Amazon Q Developer IDE extension or CLI agent installed","AWS account with Pro tier ($19/month) or higher for agentic features","Read/write file permissions in the target directory","Active internet connection for cloud-based inference","Amazon Q Developer IDE extension or CLI agent","AWS account with appropriate IAM permissions"],"failure_modes":["Requires IDE extension installation and active internet connection to AWS","Context window size for multi-file analysis is undisclosed; may truncate large projects","Completion quality depends on project structure clarity and available documentation","No offline capability — all inference runs on AWS servers","Agent reasoning mechanism (ReAct, tree-search, etc.) is undisclosed; behavior may be unpredictable","No automatic application of diffs — requires manual review and approval step","Multi-step task complexity limits are undocumented; may fail on deeply nested dependencies","Error recovery and retry logic are not specified; failed subtasks may require manual intervention","Supported AWS services are not enumerated; coverage may be incomplete for newer services","AWS SDK versions and language support are undisclosed","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.041Z","last_scraped_at":"2026-05-03T14:00:23.056Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=https-aws-amazon-com-codewhisperer","compare_url":"https://unfragile.ai/compare?artifact=https-aws-amazon-com-codewhisperer"}},"signature":"r3wzcK3n4iZbwOE0owv2lBsDON7MMOEPPBORAWTJ5WIjrqdt9Rm5gQsYvp+b86Qwrae+I5qqvUqbPWSwP9S/Dw==","signedAt":"2026-06-20T08:16:59.086Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/https-aws-amazon-com-codewhisperer","artifact":"https://unfragile.ai/https-aws-amazon-com-codewhisperer","verify":"https://unfragile.ai/api/v1/verify?slug=https-aws-amazon-com-codewhisperer","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}