{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"codeflow","slug":"codeflow","name":"Codeflow","type":"product","url":"https://www.getcodeflow.com","page_url":"https://unfragile.ai/codeflow","categories":["code-review-security","automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"codeflow__cap_0","uri":"capability://code.generation.editing.pull.request.static.analysis.with.issue.detection","name":"pull-request-static-analysis-with-issue-detection","description":"Analyzes code changes in pull requests using static analysis to identify issues including code duplication, style violations, and structural problems. Operates via Git webhook integration that triggers automated analysis on each PR, comparing changed files against configurable rule sets and surfacing results directly in the Git platform UI without requiring local installation or manual invocation.","intents":["I want to automatically catch code quality issues before they're merged into main branches","I need to enforce consistent code style and structure across pull requests without manual review","I want to identify duplicated code patterns that could be refactored"],"best_for":["development teams using GitHub, Bitbucket, or GitLab with existing Git workflows","technical leads who want automated pre-merge gates for code quality","teams seeking to reduce manual code review overhead for style and structural issues"],"limitations":["Language support is incomplete — website states 'continuously working on supporting more platforms and languages' with no published support matrix","Analysis scope limited to pull request changes only — cannot perform full repository scans or cross-repository dependency analysis","No documented SLA or latency guarantees — performance on large monorepos or high-frequency commits unknown","Configuration depth unspecified — 'fully configurable' claim lacks documentation of rule customization scope and available options"],"requires":["GitHub, Bitbucket, or GitLab account with repository access","Ability to authorize third-party OAuth integration with Git platform","Active Git workflow with pull requests enabled"],"input_types":["source code (pull request diffs)","repository metadata (commit history, file structure)","configuration rules (format and scope unknown)"],"output_types":["issue lists (format unspecified — likely JSON or markdown)","UI annotations in Git platform (GitHub checks, Bitbucket comments, GitLab merge request widgets)","structured metrics (duplication percentage, complexity scores)"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_1","uri":"capability://data.processing.analysis.code.duplication.detection.and.tracking","name":"code-duplication-detection-and-tracking","description":"Identifies duplicated code blocks across pull requests and tracks duplication metrics over time, storing historical data to show duplication trends per commit. Uses pattern matching or AST-based comparison (implementation approach unspecified) to find structurally similar code segments and aggregates duplication statistics in a historical dashboard.","intents":["I want to identify when developers are copy-pasting code instead of refactoring into shared utilities","I need to track whether code duplication is increasing or decreasing over project lifetime","I want to flag high-duplication PRs before they introduce technical debt"],"best_for":["teams with large codebases where duplication is a known technical debt risk","engineering managers tracking code quality trends over quarters","refactoring initiatives where duplication reduction is a success metric"],"limitations":["Duplication detection algorithm not documented — unclear if it uses token-based matching, AST comparison, or heuristic similarity scoring","Minimum duplication threshold unknown — may miss small duplicated snippets or flag trivial similarities","Cross-language duplication detection not mentioned — likely only detects duplication within single language","No documented mechanism to suppress false positives or mark intentional duplication"],"requires":["GitHub, Bitbucket, or GitLab integration enabled","Historical data retention (duration unknown) to track trends"],"input_types":["source code from pull requests","historical commit data"],"output_types":["duplication percentage metrics","historical trend graphs","list of duplicated code segments with locations"],"categories":["data-processing-analysis","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_2","uri":"capability://data.processing.analysis.cyclomatic.complexity.monitoring.with.evolution.tracking","name":"cyclomatic-complexity-monitoring-with-evolution-tracking","description":"Measures cyclomatic complexity (code branching/control flow complexity) for each commit and tracks how complexity evolves over time, surfacing complexity metrics in historical dashboards. Calculates complexity scores per function or file and compares against previous versions to flag complexity increases, enabling teams to identify when code is becoming harder to maintain.","intents":["I want to prevent functions from becoming too complex and unmaintainable","I need to track whether refactoring efforts are simplifying code or if complexity is creeping up","I want to flag PRs that introduce high-complexity functions before they're merged"],"best_for":["teams with strict code maintainability standards","projects where complexity thresholds are part of the definition of done","engineering leads monitoring code health metrics over time"],"limitations":["Complexity threshold configuration unknown — no documentation of what complexity scores trigger warnings","Language-specific complexity calculation not detailed — cyclomatic complexity definition may vary by language","No documented mechanism to exclude generated code or third-party code from complexity analysis","Complexity evolution baseline unknown — unclear if comparisons are against previous commit, main branch, or configurable baseline"],"requires":["GitHub, Bitbucket, or GitLab integration","Historical commit data for trend calculation"],"input_types":["source code from commits","historical complexity metrics"],"output_types":["complexity scores per function/file","complexity trend graphs over time","complexity increase/decrease deltas per commit"],"categories":["data-processing-analysis","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_3","uri":"capability://data.processing.analysis.project.statistics.aggregation.and.dashboard.reporting","name":"project-statistics-aggregation-and-dashboard-reporting","description":"Aggregates code quality metrics across the entire project and surfaces them in a centralized dashboard, including cumulative statistics like total issues found, duplication percentages, and complexity distributions. Collects data from all analyzed pull requests and commits to provide project-wide visibility into code health without requiring manual metric compilation.","intents":["I want a single dashboard showing overall code quality health for my entire project","I need to report code quality metrics to stakeholders or in retrospectives","I want to see which files or modules have the highest technical debt"],"best_for":["engineering managers and technical leads reporting on code quality","teams using code quality as a KPI or OKR","projects where code health visibility is required for stakeholder communication"],"limitations":["Metrics included in dashboard not fully specified — unclear if it includes security metrics, performance metrics, or only static analysis metrics","Granularity of statistics unknown — unclear if metrics are per-file, per-module, per-developer, or only project-wide","No documented filtering or slicing capabilities — cannot drill down by time period, file type, or team","Export format unknown — no mention of ability to export metrics for external reporting tools"],"requires":["GitHub, Bitbucket, or GitLab integration with active PR analysis","Historical data accumulation (minimum duration unknown)"],"input_types":["aggregated metrics from all analyzed code changes"],"output_types":["dashboard visualizations (format unspecified)","summary statistics (JSON, CSV, or other format unknown)","trend graphs and charts"],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_4","uri":"capability://tool.use.integration.git.platform.native.ui.integration.with.webhook.automation","name":"git-platform-native-ui-integration-with-webhook-automation","description":"Integrates analysis results directly into GitHub, Bitbucket, and GitLab native interfaces via webhook-triggered automation, displaying issues as PR checks, comments, or merge request widgets without requiring developers to visit external tools. Uses OAuth authentication to authorize access and webhook callbacks to trigger analysis on each commit or PR event, with results rendered in the platform's native UI components.","intents":["I want code review feedback to appear where developers already work — in the PR interface","I need analysis to run automatically without developers having to manually trigger it","I want to block merges if critical issues are found using native platform checks"],"best_for":["teams already using GitHub, Bitbucket, or GitLab as their primary development platform","organizations wanting to minimize context-switching by keeping feedback in native tools","teams using platform-native branch protection rules and merge gates"],"limitations":["Platform support limited to GitHub, Bitbucket, GitLab only — no support for Gitea, Forgejo, or self-hosted Git alternatives","Webhook latency and processing time not documented — unclear if analysis blocks PR merge or runs asynchronously","OAuth scope and permissions not documented — unclear what repository access is required","UI customization not mentioned — cannot customize how results are displayed in native platform UI","No offline or local analysis option — requires cloud connectivity and CodeFlow's servers"],"requires":["GitHub, Bitbucket, or GitLab account with repository admin or maintainer permissions","Ability to authorize OAuth application with Git platform","Internet connectivity to CodeFlow's cloud infrastructure"],"input_types":["webhook events from Git platform (PR created, commit pushed, etc.)","repository code and metadata"],"output_types":["GitHub checks API results (pass/fail status)","PR comments or review suggestions","GitLab merge request widgets or comments","Bitbucket PR comments or checks"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_5","uri":"capability://code.generation.editing.configurable.analysis.rules.with.unknown.customization.scope","name":"configurable-analysis-rules-with-unknown-customization-scope","description":"Allows teams to configure analysis rules to match their code standards, with the website claiming 'fully configurable' rules but providing no documentation of what can be configured, how configuration works, or what rule types are supported. The actual scope of customization — whether it includes rule severity levels, exception lists, custom rule creation, or only preset rule selection — is completely unspecified.","intents":["I want to enforce my team's specific code style and standards, not generic defaults","I need to suppress false positives or exceptions for legitimate code patterns","I want to customize severity levels so critical issues block merges but warnings don't"],"best_for":["teams with non-standard code style or architectural patterns","organizations with strict compliance or security requirements","projects where generic linting rules don't match team standards"],"limitations":["Configuration mechanism completely undocumented — no specification of config file format, UI, or API","Customization scope unknown — unclear if teams can create custom rules or only select from presets","Rule types not specified — unclear what categories of rules can be configured (style, complexity, security, performance, etc.)","No documentation of rule precedence or conflict resolution if multiple rules apply","No mention of rule versioning or how rule changes affect historical data","Exception/suppression mechanism unknown — unclear if developers can suppress specific issues or only globally disable rules"],"requires":["GitHub, Bitbucket, or GitLab integration","Access to configuration interface (location and format unknown)"],"input_types":["rule configuration (format unknown)","exception lists or suppression directives (format unknown)"],"output_types":["configured analysis results filtered by rules"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_6","uri":"capability://automation.workflow.configurable.rule.sets.and.custom.issue.definitions","name":"configurable rule sets and custom issue definitions","description":"Allows teams to define custom analysis rules and issue categories through configuration files or UI, enabling organization-specific standards beyond built-in checks. Rules can be enabled/disabled, severity adjusted, and custom patterns defined using language-specific rule syntax. Configuration is stored in the repository (e.g., .codeflow.yml) enabling version control and team consensus on standards. Supports rule inheritance and overrides for different code paths (e.g., stricter rules for critical services, relaxed rules for test code).","intents":["I need to enforce organization-specific coding standards that aren't covered by default rules","I want to adjust issue severity based on our risk tolerance and business priorities","I need different rules for different parts of the codebase (e.g., stricter for production code)"],"best_for":["Organizations with established internal coding standards and best practices","Teams wanting to gradually enforce new standards without breaking all PRs","Companies with compliance requirements requiring custom rule enforcement"],"limitations":["Custom rule definition requires technical expertise; non-technical stakeholders cannot define rules","Rule syntax varies by language; rules must be rewritten for each language","No visual rule builder; rules must be written in configuration file format","Rule testing and validation must be done manually before deployment"],"requires":["GitHub repository access","Configuration file in repository (.codeflow.yml, .codeflow.json, etc.)","Technical knowledge of rule definition syntax"],"input_types":["Configuration files (YAML, JSON, etc.)","Rule definitions (language-specific syntax)","Code to analyze against custom rules"],"output_types":["Custom issue findings based on defined rules","Severity levels based on rule configuration","Custom issue categories and descriptions"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_7","uri":"capability://planning.reasoning.issue.severity.and.priority.classification.with.actionability.scoring","name":"issue severity and priority classification with actionability scoring","description":"Classifies detected issues by severity (critical, high, medium, low) and priority based on impact, frequency, and business context. Uses machine learning to score actionability (how likely a developer is to fix the issue) based on issue type, codebase patterns, and team history. Enables teams to focus on high-impact issues first and deprioritize low-confidence findings. Severity can be customized per organization and adjusted based on code path (e.g., critical for production code, medium for tests).","intents":["I want to focus on the most impactful issues first rather than being overwhelmed by all findings","I need to understand which issues are worth fixing vs. which are low-risk","I want to avoid wasting developer time on low-confidence or low-impact findings"],"best_for":["Teams with high PR volume wanting to prioritize review effort","Organizations with risk-averse cultures needing clear severity guidance","Teams wanting to gradually improve code quality without overwhelming developers"],"limitations":["Severity classification is heuristic-based; may not reflect actual business impact","Actionability scoring requires historical data; less accurate for new teams or codebases","False negatives possible for novel or context-dependent issues","Customization requires understanding of severity model; difficult to tune without domain expertise"],"requires":["GitHub repository access","Historical PR and issue data for actionability scoring (optional but improves accuracy)","Configuration for severity thresholds and customization"],"input_types":["Issue findings with type and location","Code context and codebase patterns","Historical PR and fix data (optional)"],"output_types":["Severity classification (critical, high, medium, low)","Actionability score (0-100)","Priority ranking within PR","Recommended action (must fix, should fix, nice to have)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"codeflow__cap_8","uri":"capability://code.generation.editing.suggested.code.fixes.with.one.click.application","name":"suggested code fixes with one-click application","description":"Generates specific code fixes for detected issues where applicable (e.g., style violations, simple refactorings, security patches) and presents them as suggestions that developers can apply with a single click. Fixes are generated using code generation models or rule-based transformations and are validated to ensure they don't introduce syntax errors. Supports batch application of multiple fixes and integrates with GitHub's suggestion feature for seamless UX. Fixes include explanations of what changed and why.","intents":["I want to fix style and simple issues without manually editing code","I need to understand what the fix does before applying it","I want to apply multiple fixes at once to reduce back-and-forth in review"],"best_for":["Teams wanting to reduce friction in code review by automating simple fixes","Organizations with high PR volume where manual fixes create bottlenecks","Developers who want to learn best practices by seeing suggested fixes"],"limitations":["Fixes only available for certain issue types (style, simple refactorings); complex logic changes require manual fixes","Generated fixes may not match developer's preferred style or approach","Batch application can introduce unintended interactions between fixes","Fixes require developer approval; cannot be auto-committed without explicit permission"],"requires":["GitHub repository access with write permissions","PR must be open and not merged","Issue must be of a type with 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duplication","Complexity threshold configuration unknown — no documentation of what complexity scores trigger warnings","Language-specific complexity calculation not detailed — cyclomatic complexity definition may vary by language","builder identity is not verified yet","no observed match outcomes 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