{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-blackboxapp-blackbox","slug":"blackboxai-1-ai-coding-agent-and-coding-copilot","name":"BLACKBOXAI #1 AI Coding Agent and Coding Copilot","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=Blackboxapp.blackbox","page_url":"https://unfragile.ai/blackboxai-1-ai-coding-agent-and-coding-copilot","categories":["code-editors","automation"],"tags":["ai","anthropic","autocomplete","bash","blackbox.ai","c","c#","c++","chatgpt","code-recommendation","codex","copilot","co-pilot","cpp","csharp","css","domination","github","go","golang","haskell","html","intellicode","intellisense","java","javascript","julia","jupyter","keybindings","kite","kotlin","lua","method completion","node","node.js","nodejs","objectivec","objective-c","ocaml","openai","perl","php","pilot","python","react","ruby","rust","snippets","sonnet","swift","typescript"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-blackboxapp-blackbox__cap_0","uri":"capability://code.generation.editing.real.time.inline.code.completion.with.codebase.awareness","name":"real-time inline code completion with codebase awareness","description":"Provides context-aware code suggestions as developers type, leveraging the full codebase as context rather than isolated file snippets. The extension reads entire project structure, analyzes current file context, and generates completions that respect project patterns, naming conventions, and existing implementations. Completions appear inline in the editor with configurable trigger behavior.","intents":["I want autocomplete suggestions that understand my project's architecture and coding style","I need faster code writing without breaking context or switching tools","I want completions that respect my existing codebase patterns and conventions"],"best_for":["solo developers and small teams using VS Code","projects with consistent coding patterns that benefit from style-aware completion","developers who want to stay in-editor without context switching"],"limitations":["Codebase indexing latency unknown — may cause delays on very large projects (100k+ files)","No documented support for monorepo workspaces or multi-root configurations","Completion quality depends on model selection; weaker models may produce less contextually relevant suggestions"],"requires":["VS Code (minimum version unknown, likely 1.60+)","BLACKBOX AI account (free, no credit card required)","Active internet connection for model inference"],"input_types":["current file context (partial code before cursor)","full codebase structure (indexed on demand)","project configuration files (package.json, tsconfig.json, etc.)"],"output_types":["inline code suggestions (single or multi-line)","completion metadata (confidence score unknown)"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_1","uri":"capability://code.generation.editing.autonomous.end.to.end.code.generation.with.self.correction.loop","name":"autonomous end-to-end code generation with self-correction loop","description":"Executes a closed-loop workflow where the agent writes code, runs terminal commands to test, reads output, detects failures, and automatically corrects implementation until working software is produced. The agent can create files, modify existing code, execute arbitrary shell commands, and iterate based on error messages and test results without human intervention between cycles.","intents":["I want the agent to write complete features and fix them automatically when tests fail","I need to ship working code without manually debugging agent outputs","I want autonomous execution that stops only when the task is genuinely complete"],"best_for":["teams building greenfield features where requirements are well-defined","developers who trust autonomous execution and have strong approval controls enabled","projects with comprehensive test suites that provide clear pass/fail signals"],"limitations":["Success criteria undefined — agent may loop indefinitely if test suite is flaky or ambiguous","No documented timeout mechanism or maximum iteration limit","Terminal execution is unrestricted — agent can execute destructive commands (rm -rf, etc.) if approval controls are disabled","Self-correction relies on parsing terminal output; may fail with non-standard error formats or colored output","No dry-run mode documented — changes are committed to disk before approval in some workflows"],"requires":["VS Code extension installed and authenticated","Project with executable tests or validation commands","Terminal access enabled in VS Code","Granular approval controls configured (file edits, file creation, command execution)"],"input_types":["natural language task description","current codebase state","test output and error messages","git commit history (optional context)"],"output_types":["modified/created source files","terminal command execution results","iteration logs (unknown format)"],"categories":["code-generation-editing","planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_10","uri":"capability://safety.moderation.granular.approval.controls.for.autonomous.operations","name":"granular approval controls for autonomous operations","description":"Provides fine-grained approval gates for different types of autonomous operations: file edits, file creation, command execution, and file reads. Developers can configure which operations require approval before execution, enabling safe autonomous execution with human oversight. Approval workflow (modal, async, batching) is undocumented.","intents":["I want to let the agent make changes but review them before they're committed","I need to prevent the agent from executing dangerous commands","I want to approve file creation but not file edits (or vice versa)"],"best_for":["teams uncomfortable with fully autonomous execution","projects where code review is mandatory","developers who want to gradually increase agent autonomy as trust builds"],"limitations":["Approval workflow (modal vs async) unknown — may block developer if synchronous","No documented ability to batch-approve multiple operations","No documented ability to auto-approve based on rules (e.g., 'approve edits to test files')","Approval UI/UX unknown — unclear how easy it is to review changes before approving","No documented audit trail of approvals/rejections"],"requires":["VS Code extension installed","BLACKBOX AI account","Configuration of approval rules (UI/format unknown)"],"input_types":["approval rule configuration (format unknown)"],"output_types":["approval prompts (UI format unknown)","approval decisions (approved/rejected)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_11","uri":"capability://code.generation.editing.multi.language.code.generation.and.completion.40.languages","name":"multi-language code generation and completion (40+ languages)","description":"Supports code generation, completion, and analysis across 40+ programming languages including Python, JavaScript, TypeScript, Java, C++, Rust, Go, C#, PHP, Ruby, Swift, Kotlin, Haskell, OCaml, Perl, Lua, Julia, and others. Language detection is automatic based on file extension; language-specific syntax and conventions are respected in all generated code.","intents":["I want AI assistance regardless of what language I'm coding in","I need consistent code quality across a polyglot codebase","I want language-specific best practices applied to generated code"],"best_for":["teams using multiple programming languages","developers learning new languages who benefit from AI guidance","projects with language-specific frameworks (Rails, Django, Spring, etc.)"],"limitations":["Language support varies by model — some models may not support all 40+ languages equally","No documented language-specific customization (e.g., Python style guide, Go idioms)","Completion quality may vary significantly between popular languages (Python, JS) and niche languages (Haskell, OCaml)","No documented support for domain-specific languages (SQL, GraphQL, Terraform, etc.)"],"requires":["VS Code extension installed","File with recognized language extension","BLACKBOX AI account"],"input_types":["source code in any supported language","language-specific context (imports, class definitions, etc.)"],"output_types":["code in the same language","language-specific syntax and conventions"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_12","uri":"capability://tool.use.integration.github.and.gitlab.integration.for.repository.context.and.workflow","name":"github and gitlab integration for repository context and workflow","description":"Integrates with GitHub and GitLab to access repository context including commit history, pull requests, issues, and branch information. The agent can read git diffs, analyze commit messages, and potentially create pull requests or update issues (integration scope undocumented). Integration enables context-aware code generation that understands recent changes and project history.","intents":["I want the agent to understand my project's git history and recent changes","I need the agent to create pull requests or update issues automatically","I want code generation that respects my team's commit conventions and patterns"],"best_for":["teams using GitHub or GitLab for version control","projects with well-maintained commit history and issue tracking","developers who want agent actions to integrate with their CI/CD pipeline"],"limitations":["Integration scope undocumented — unclear if agent can create PRs, update issues, or only read data","Authentication mechanism unknown — how are GitHub/GitLab credentials provided?","No documented support for GitHub Enterprise or self-hosted GitLab","Commit history analysis limited to diffs and messages — cannot analyze code intent","No documented integration with GitHub Actions or GitLab CI"],"requires":["GitHub or GitLab account","Repository with git history","BLACKBOX AI account","GitHub/GitLab authentication (mechanism unknown)"],"input_types":["repository URL or path","branch name or commit hash"],"output_types":["commit history and diffs","pull request information (if readable)","issue information (if readable)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_13","uri":"capability://tool.use.integration.freemium.pricing.with.free.tier.and.unknown.paid.tiers","name":"freemium pricing with free tier and unknown paid tiers","description":"Offers free access to BLACKBOX AI without requiring a credit card. Free tier includes real-time code completion, documentation generation, and basic debugging assistance. Paid tier(s) and feature restrictions are undocumented. Free tier may include usage limits, rate limits, or feature restrictions (unknown).","intents":["I want to try BLACKBOX AI without committing to a paid plan","I need to understand what features are available in the free tier","I want to know the cost of upgrading to paid features"],"best_for":["individual developers and small teams evaluating the tool","open-source projects with limited budgets","developers who want to try before committing to paid plans"],"limitations":["Free tier feature restrictions unknown — unclear what is limited (model selection, execution frequency, codebase size, etc.)","Paid tier pricing and features unknown — no public pricing information","Usage limits unknown — may have rate limits or monthly quotas","No documented trial period or feature unlock mechanism","No documented upgrade path or feature comparison"],"requires":["BLACKBOX AI account (free)","No credit card required for free tier"],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_2","uri":"capability://planning.reasoning.multi.agent.orchestration.with.parallel.execution.and.judge.layer","name":"multi-agent orchestration with parallel execution and judge layer","description":"Dispatches the same coding task to multiple agents (Claude Code, Codex, Gemini, Goose, OpenCode, BLACKBOX, and 9+ others) simultaneously or sequentially, then uses a judge layer to automatically evaluate outputs and select the best result. Supports concurrent execution where different agents work on different codebase sections with automatic result merging, and sequential pipelines where one agent's output feeds into the next (write → review → optimize).","intents":["I want to leverage the strengths of multiple AI agents without manually comparing outputs","I need the best possible code quality by running multiple approaches in parallel","I want to combine specialized agents (one for writing, one for review, one for optimization)"],"best_for":["teams with high quality requirements and tolerance for increased latency","projects where code correctness is critical (financial, healthcare, security-sensitive)","developers who want to experiment with different agent architectures without manual switching"],"limitations":["Judge layer evaluation criteria undefined — unclear how 'best result' is determined (test pass rate, code style, performance, etc.)","Parallel execution multiplies API costs and latency; no documented cost estimation or time overhead","Result merging algorithm for concurrent execution unknown — may produce conflicts or inconsistent code","No documented fallback if all agents fail or produce invalid code","Sequential pipeline dependencies unclear — how does agent N know what agent N-1 produced?"],"requires":["BLACKBOX AI account with sufficient quota for multi-agent execution","API keys for external models if using Claude, GPT, Gemini agents","VS Code extension version supporting orchestration (minimum version unknown)"],"input_types":["task description","codebase context","agent selection (manual or automatic)","pipeline configuration (sequential or parallel)"],"output_types":["selected best output from judge layer","merged code from concurrent agents (format unknown)","execution logs showing all agent outputs (unknown format)"],"categories":["planning-reasoning","tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_3","uri":"capability://tool.use.integration.model.and.agent.switching.with.300.supported.models","name":"model and agent switching with 300+ supported models","description":"Provides one-click switching between 300+ language models (Claude Sonnet 4.6, GPT-5.4, Gemini 3.1 Pro, Minimax-M2.5, Kimi-K2.5, GLM-5, and others) and 15+ specialized agents (Claude Code, Codex, Gemini, Goose, OpenCode, BLACKBOX, and others) without leaving the editor. Model selection persists across sessions and affects all subsequent completions and autonomous execution.","intents":["I want to try different models to find which works best for my task","I need to switch to a faster/cheaper model for routine tasks and a more capable model for complex ones","I want to use specialized agents optimized for specific coding tasks (e.g., code review agent)"],"best_for":["developers experimenting with different model capabilities","teams optimizing for cost/speed tradeoffs across different task types","organizations with existing API keys for multiple providers (OpenAI, Anthropic, Google)"],"limitations":["Authentication/API key management for 300+ models unknown — unclear if each model requires separate credentials or if BLACKBOX proxies all requests","No documented pricing comparison or cost estimation for different models","Model availability may vary by region or account tier (free vs paid)","Switching models mid-task may produce inconsistent results if agents have different capabilities","No documented default model or fallback if selected model is unavailable"],"requires":["BLACKBOX AI account","API keys for external providers (if using non-BLACKBOX models)","VS Code extension with model selection UI"],"input_types":["model/agent selection from dropdown or command palette"],"output_types":["confirmation of selected model","subsequent completions/generations using selected model"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_4","uri":"capability://text.generation.language.documentation.generation.from.code.context","name":"documentation generation from code context","description":"Analyzes selected code or entire files and automatically generates documentation including docstrings, README sections, API documentation, and inline comments. The generator understands code structure, function signatures, and project context to produce documentation that matches the codebase style and conventions.","intents":["I want to generate docstrings for functions without manually writing them","I need to create API documentation from my code automatically","I want to document my codebase quickly to improve maintainability"],"best_for":["developers maintaining large codebases with poor documentation","teams onboarding new developers who need to understand code quickly","open-source projects that need comprehensive documentation"],"limitations":["Documentation quality depends on code clarity — poorly written code produces poor documentation","No documented support for multiple documentation formats (JSDoc, Sphinx, Doxygen, etc.)","Generated documentation may require manual review and editing","No integration with documentation generators (Sphinx, Typedoc, etc.) documented"],"requires":["VS Code extension installed","Code selection or file context","BLACKBOX AI account"],"input_types":["source code (selected or full file)","code language/type (inferred from file extension)"],"output_types":["docstrings (format depends on language)","inline comments","README sections (markdown)"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_5","uri":"capability://code.generation.editing.debugging.assistance.with.error.analysis.and.fix.suggestions","name":"debugging assistance with error analysis and fix suggestions","description":"Analyzes error messages, stack traces, and code context to identify root causes and suggest fixes. The agent can read terminal output from failed tests or runtime errors, correlate them with source code, and propose corrections that address the underlying issue rather than just the symptom.","intents":["I want the agent to explain why my code is failing and suggest a fix","I need to debug errors quickly without manually tracing through code","I want automated debugging that learns from error patterns in my project"],"best_for":["developers debugging complex issues in unfamiliar codebases","teams with limited debugging expertise","projects with comprehensive error logging and stack traces"],"limitations":["Debugging quality depends on error message clarity — cryptic errors may produce incorrect diagnoses","No documented support for debugging compiled languages (C++, Rust) where stack traces are less informative","Cannot debug issues that require runtime inspection (memory leaks, race conditions) without additional tooling","No integration with debuggers (GDB, LLDB, Chrome DevTools) documented"],"requires":["Error message or stack trace from terminal/test output","Source code context","BLACKBOX AI account"],"input_types":["error messages","stack traces","source code","test output"],"output_types":["root cause analysis (text)","suggested fixes (code)","explanation of the issue"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_6","uri":"capability://code.generation.editing.code.review.and.optimization.suggestions","name":"code review and optimization suggestions","description":"Analyzes code for quality issues, performance bottlenecks, security vulnerabilities, and style violations. Can be invoked as a standalone agent in the multi-agent orchestration pipeline or as part of the autonomous execution loop. Provides specific, actionable suggestions with explanations of why changes improve the code.","intents":["I want automated code review before committing changes","I need to identify performance bottlenecks and security issues in my code","I want suggestions for refactoring and code style improvements"],"best_for":["teams without dedicated code review resources","projects with strict code quality standards","developers learning best practices for a new language or framework"],"limitations":["Review quality depends on configured rules and standards — no documented way to customize review criteria","May produce false positives for legitimate code patterns","Cannot detect issues requiring runtime behavior analysis (memory leaks, race conditions)","No integration with linters or static analysis tools documented"],"requires":["Source code to review","BLACKBOX AI account","Optional: project configuration files defining code standards"],"input_types":["source code (file or selection)","code language/type"],"output_types":["list of issues found (with severity levels unknown)","suggested improvements (code or text)","explanations for each suggestion"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_7","uri":"capability://memory.knowledge.context.input.from.multiple.sources.files.urls.screenshots.git.history","name":"context input from multiple sources (files, urls, screenshots, git history)","description":"Accepts task context from diverse input sources: file/folder selection via UI, web URLs (fetches and analyzes page content), screenshots (OCR and visual analysis), and git commit history (analyzes diffs and commit messages). The agent synthesizes these inputs into a unified context for code generation or analysis tasks.","intents":["I want to reference a web page or API documentation while coding","I need to analyze a screenshot of a UI and implement it","I want the agent to understand recent changes from git history"],"best_for":["developers building features from design mockups or screenshots","teams integrating external APIs or services","developers who want to provide rich context without manual copying"],"limitations":["URL fetching may fail for pages behind authentication or paywalls","Screenshot OCR quality depends on image clarity and text size","Git history analysis limited to commit messages and diffs — cannot analyze code intent","No documented support for PDF files, video, or audio inputs","Context from multiple sources may conflict or be contradictory"],"requires":["VS Code extension installed","Internet connection for URL fetching","BLACKBOX AI account"],"input_types":["file paths (single or multiple)","folder paths","URLs (HTTP/HTTPS)","screenshots (PNG, JPG, etc.)","git commit hashes or branch names"],"output_types":["unified context representation (internal format unknown)","extracted text from URLs and screenshots","parsed git diffs and commit messages"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_8","uri":"capability://automation.workflow.browser.automation.for.web.application.testing.and.interaction","name":"browser automation for web application testing and interaction","description":"Launches a real browser instance (Chrome/Chromium), navigates to specified URLs, interacts with DOM elements (clicks, form fills, scrolling), captures screenshots, and reads page content. The agent can use this to test web applications, verify UI changes, or gather information about live services. Integrates with the autonomous execution loop for end-to-end testing.","intents":["I want the agent to test my web application by interacting with it like a user","I need to verify that my code changes work correctly in the browser","I want to automate testing of external services or APIs"],"best_for":["teams building web applications with UI-heavy requirements","developers who want automated browser testing without Selenium/Playwright setup","projects where visual regression testing is important"],"limitations":["Browser automation restricted to localhost or specific domains (restriction scope unknown)","No documented support for headless mode — may require display server on Linux","Cannot interact with iframes or shadow DOM (standard browser automation limitation)","Screenshot capture may fail with dynamic content or animations","No documented support for browser extensions or custom scripts"],"requires":["Chrome or Chromium browser installed","Web server running locally or accessible URL","BLACKBOX AI account","VS Code extension with browser automation support"],"input_types":["URL to navigate to","DOM selectors for elements to interact with","interaction type (click, fill, scroll, etc.)"],"output_types":["screenshots (PNG format)","page content (HTML or text)","interaction results (success/failure)"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__cap_9","uri":"capability://automation.workflow.blackbox.skills.reusable.version.controlled.expert.workflows","name":"blackbox skills: reusable, version-controlled expert workflows","description":"Defines reusable, shareable expert workflows as 'Skills' that are version-controlled in the repository and invoked autonomously by agents. Skills encapsulate domain-specific knowledge (e.g., 'deploy to AWS', 'run security audit', 'optimize database queries') and can be chained together. Skill definition format and creation interface are undocumented.","intents":["I want to define custom workflows that agents can invoke without manual prompting","I need to share domain expertise across my team as reusable Skills","I want to version-control my agent workflows alongside my code"],"best_for":["teams with repeatable processes that benefit from automation","organizations building internal tools and frameworks","projects with complex deployment or testing workflows"],"limitations":["Skill definition format unknown (YAML, JSON, DSL, or custom format)","Skill creation/editing interface unknown — may require manual file editing","Skill sharing mechanism unknown — unclear if Skills are shared via git, marketplace, or other means","No documented skill library or marketplace","Skill versioning strategy unknown — how are breaking changes handled?"],"requires":["BLACKBOX AI account","VS Code extension","Git repository (for version control)","Skill definition format documentation (not provided)"],"input_types":["skill definition (format unknown)","skill parameters (type and structure unknown)"],"output_types":["skill execution results (format unknown)","skill logs/output (format unknown)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-blackboxapp-blackbox__headline","uri":"capability://code.generation.editing.ai.coding.assistant.and.copilot.for.developers","name":"ai coding assistant and copilot for developers","description":"BLACKBOX AI is an advanced AI coding assistant that provides real-time code completion, documentation, and debugging suggestions, seamlessly integrating with popular developer tools like GitHub and GitLab.","intents":["best AI coding assistant","AI coding copilot for real-time coding","AI tool for debugging and documentation","top coding extensions for Visual Studio Code","AI tools for enhancing developer workflows"],"best_for":["developers seeking real-time coding support"],"limitations":[],"requires":["Visual Studio Code"],"input_types":["code snippets","project files"],"output_types":["code suggestions","documentation"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":57,"verified":false,"data_access_risk":"high","permissions":["VS Code (minimum version unknown, likely 1.60+)","BLACKBOX AI account (free, no credit card required)","Active internet connection for model inference","VS Code extension installed and authenticated","Project with executable tests or validation commands","Terminal access enabled in VS Code","Granular approval controls configured (file edits, file creation, command execution)","VS Code extension installed","BLACKBOX AI account","Configuration of approval rules (UI/format unknown)"],"failure_modes":["Codebase indexing latency unknown — may cause delays on very large projects (100k+ files)","No documented support for monorepo workspaces or multi-root configurations","Completion quality depends on model selection; weaker models may produce less contextually relevant suggestions","Success criteria undefined — agent may loop indefinitely if test suite is flaky or ambiguous","No documented timeout mechanism or maximum iteration limit","Terminal execution is unrestricted — agent can execute destructive commands (rm -rf, etc.) if approval controls are disabled","Self-correction relies on parsing terminal output; may fail with non-standard error formats or colored output","No dry-run mode documented — changes are committed to disk before approval in some workflows","Approval workflow (modal vs async) unknown — may block developer if synchronous","No documented ability to batch-approve multiple operations","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.94,"quality":0.5,"ecosystem":0.45,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.118Z","last_scraped_at":"2026-05-03T15:20:29.937Z","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=blackboxai-1-ai-coding-agent-and-coding-copilot","compare_url":"https://unfragile.ai/compare?artifact=blackboxai-1-ai-coding-agent-and-coding-copilot"}},"signature":"AZ8GyWjJYFoCWxxdX7nItDn+qavPhRbemjdYuZeMM7uT5/n2dNLTzo1l8XgHPyEIANxLZXiNCcOkWow0KIzeBQ==","signedAt":"2026-06-22T18:35:00.357Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/blackboxai-1-ai-coding-agent-and-coding-copilot","artifact":"https://unfragile.ai/blackboxai-1-ai-coding-agent-and-coding-copilot","verify":"https://unfragile.ai/api/v1/verify?slug=blackboxai-1-ai-coding-agent-and-coding-copilot","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"}}