{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-gocodeo","slug":"gocodeo","name":"GoCodeo","type":"agent","url":"https://www.gocodeo.com/","page_url":"https://unfragile.ai/gocodeo","categories":["ai-agents"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-gocodeo__cap_0","uri":"capability://code.generation.editing.ai.driven.code.generation.from.natural.language.specifications","name":"ai-driven code generation from natural language specifications","description":"Converts natural language requirements and descriptions into executable code by parsing intent through an LLM backbone, mapping specifications to language-specific syntax patterns, and generating syntactically valid code artifacts. 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The system likely uses abstract syntax tree (AST) analysis or specification parsing to identify code paths, input domains, and expected outputs, then generates test code in the appropriate testing framework for the target language.","intents":["Generate comprehensive test suites without manually writing every test case","Ensure code coverage across normal, edge, and error conditions","Create tests that validate generated code before deployment"],"best_for":["teams aiming to increase test coverage velocity","developers validating auto-generated code quality","projects requiring rapid test-driven development cycles"],"limitations":["Generated tests may miss domain-specific business logic validation","Cannot generate tests for non-deterministic or stateful behavior without explicit specification","Test quality depends on clarity of code specifications and function signatures"],"requires":["Source code or detailed function specifications","Target testing framework (Jest, pytest, JUnit, etc.)","Clear input/output contracts or type definitions"],"input_types":["source code","function signatures","API specifications","natural language requirements"],"output_types":["test code","test suites","assertion statements","test execution reports"],"categories":["code-generation-editing","testing-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gocodeo__cap_2","uri":"capability://code.generation.editing.multi.language.code.completion.with.context.awareness","name":"multi-language code completion with context awareness","description":"Provides intelligent code suggestions and completions across multiple programming languages by analyzing the current code context, imported dependencies, and project structure. The system maintains language-specific syntax models and likely uses token-based prediction or AST-aware completion to suggest contextually relevant code fragments that respect language conventions and available APIs.","intents":["Get intelligent code suggestions as I type to reduce manual typing","Discover available methods and properties from imported libraries","Complete code patterns that match the current project's style"],"best_for":["developers working across multiple programming languages","teams with polyglot codebases","developers seeking to reduce typing and context-switching overhead"],"limitations":["Completion quality degrades in unfamiliar or niche language domains","May suggest deprecated APIs or outdated patterns if training data is stale","Context window limitations may prevent awareness of distant code definitions"],"requires":["Active code editor or IDE integration","Supported programming language (specific list unknown)","Project context or file structure visibility"],"input_types":["partial code","cursor position","file context","project structure"],"output_types":["code suggestions","completion candidates","inline code snippets"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gocodeo__cap_3","uri":"capability://code.generation.editing.code.review.and.quality.analysis.with.automated.suggestions","name":"code review and quality analysis with automated suggestions","description":"Analyzes source code against quality standards, design patterns, and best practices, then generates actionable review comments and refactoring suggestions. The system likely uses pattern matching, static analysis rules, and LLM-based semantic analysis to identify code smells, security issues, performance problems, and style violations, then suggests specific fixes with explanations.","intents":["Get automated code review feedback without waiting for human reviewers","Identify potential bugs, security issues, or performance problems early","Receive specific refactoring suggestions with explanations"],"best_for":["teams implementing continuous code quality gates","developers learning best practices through automated feedback","projects with strict code standards requiring consistent enforcement"],"limitations":["May flag false positives for legitimate design patterns or domain-specific code","Cannot understand business context or architectural decisions without explicit documentation","Suggestions may conflict with team conventions or project-specific standards"],"requires":["Source code in supported programming languages","Configurable quality rules or standards","Optional: project-specific style guides or linting configurations"],"input_types":["source code","code diffs","pull requests","configuration files"],"output_types":["review comments","quality metrics","refactoring suggestions","severity-ranked issues"],"categories":["code-generation-editing","quality-assurance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gocodeo__cap_4","uri":"capability://code.generation.editing.debugging.assistance.with.error.diagnosis.and.fix.suggestions","name":"debugging assistance with error diagnosis and fix suggestions","description":"Analyzes error messages, stack traces, and code context to diagnose root causes and suggest fixes. The system likely parses error output, traces execution paths through code, and uses pattern matching against known error categories to generate targeted debugging steps and potential solutions with explanations of why the error occurred.","intents":["Understand what caused an error and how to fix it quickly","Get step-by-step debugging guidance without manual investigation","Discover common mistakes and how to avoid them"],"best_for":["developers debugging unfamiliar codebases or languages","teams reducing time spent on error diagnosis","junior developers learning debugging techniques"],"limitations":["Diagnosis accuracy depends on error message clarity and code context provided","May not identify issues in external dependencies or runtime environments","Cannot debug non-deterministic or race condition bugs without reproduction steps"],"requires":["Error message or stack trace","Relevant source code context","Optional: reproduction steps or test case"],"input_types":["error messages","stack traces","source code","log output"],"output_types":["diagnosis explanation","fix suggestions","debugging steps","code patches"],"categories":["code-generation-editing","debugging"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gocodeo__cap_5","uri":"capability://code.generation.editing.codebase.aware.refactoring.with.cross.file.impact.analysis","name":"codebase-aware refactoring with cross-file impact analysis","description":"Performs refactoring operations across multiple files while tracking dependencies and ensuring consistency. The system likely builds an internal representation of the codebase (dependency graph, symbol table, type information) to identify all affected locations when renaming, extracting, or restructuring code, then generates coordinated changes across files to maintain correctness.","intents":["Rename a function or variable across the entire codebase safely","Extract code into reusable functions with automatic import management","Restructure code organization without breaking dependencies"],"best_for":["teams performing large-scale refactoring safely","developers improving code organization without manual coordination","projects with complex dependency graphs requiring precise change tracking"],"limitations":["Refactoring accuracy depends on complete codebase visibility and parsing","Dynamic code (eval, reflection, string-based references) may not be tracked correctly","May not understand architectural patterns or business logic constraints"],"requires":["Access to complete codebase or significant portions","Supported programming language with full syntax support","Optional: type information or IDE integration for semantic awareness"],"input_types":["source code","refactoring specifications","codebase structure"],"output_types":["refactored code","multi-file changes","impact analysis reports"],"categories":["code-generation-editing","refactoring"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gocodeo__cap_6","uri":"capability://planning.reasoning.agent.driven.task.orchestration.for.multi.step.coding.workflows","name":"agent-driven task orchestration for multi-step coding workflows","description":"Coordinates multiple coding tasks (generation, testing, review, debugging) into automated workflows that execute sequentially or in parallel based on dependencies. The system likely uses a task planning engine to decompose high-level coding goals into discrete steps, manages state between steps, and adapts the workflow based on intermediate results (e.g., if tests fail, trigger debugging).","intents":["Implement a complete feature end-to-end with code generation, testing, and review in one request","Automatically fix failing tests by regenerating code and re-running validation","Create a full CI/CD-like workflow for code quality without manual orchestration"],"best_for":["teams automating repetitive coding workflows","developers building features with guaranteed test coverage","projects requiring consistent code quality gates before deployment"],"limitations":["Workflow success depends on clear task definitions and success criteria","May require manual intervention if intermediate steps produce unexpected results","Orchestration overhead adds latency compared to single-step operations"],"requires":["High-level task specification or feature description","Clear success criteria for each workflow step","Optional: custom workflow configuration or templates"],"input_types":["feature specifications","workflow definitions","success criteria"],"output_types":["generated code","test results","review reports","workflow execution logs"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-gocodeo__cap_7","uri":"capability://code.generation.editing.context.aware.code.suggestions.based.on.project.patterns.and.conventions","name":"context-aware code suggestions based on project patterns and conventions","description":"Learns and applies project-specific coding patterns, naming conventions, and architectural styles to generate suggestions that match the existing codebase. 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