Blackbox AI

Coordinates 9 specialized agents (refactor, migrate, test-gen, deploy, review, docs, security, perf, scaffold) through a Chairman LLM supervisor that evaluates outputs against quality criteria before merging. Each agent executes a task-specific workflow (e.g., refactor agent scans auth patterns, extracts middleware, runs test suite validation) and the supervisor gates results based on passing thresholds, enabling autonomous multi-step code transformations without human intervention between steps.

Scans full codebase to identify structural patterns (e.g., authentication middleware, API route handlers), extracts and consolidates duplicated logic, applies refactoring transformations, and validates changes by running the existing test suite. The refactor agent operates on 47+ files in 1.2 seconds and produces PR-ready changes with test validation (e.g., 12/12 tests passing), enabling large-scale refactoring without manual code review of each change.

Provides real-time code completion, refactoring suggestions, and debugging assistance directly within 35+ IDEs (VS Code, JetBrains, Vim, etc.) through native extensions. The IDE integration enables developers to access Blackbox capabilities without leaving their editor, with context-aware suggestions based on the current file and project.

Provides conversational AI assistance for code questions, debugging, and explanations through a chat interface accessible via web, IDE, Slack, and voice. Developers can ask multi-turn questions about their codebase, receive explanations, and get code suggestions without switching tools, with context maintained across conversation turns.

Converts Figma designs to production-ready code (React, Vue, etc.) by analyzing design components, layout, and styling, then generating corresponding component code. Developers can import Figma designs and receive code that matches the design specification, reducing manual implementation time for UI components.

Allocates monthly credits ($20-$80 depending on tier) that are consumed by model API calls, with auto-refill enabled by default. Users can select from 400+ available models (xAI, Anthropic, OpenAI, Minimax-M2.5, Kimi K2.6) and credits are deducted based on model cost and usage. Pro Plus tier includes unlimited agent requests with auto-refill, while overage pricing applies when credits are exhausted.

Provides on-premise deployment option for Enterprise tier customers, enabling full data residency control and training opt-out by default. Organizations can deploy Blackbox infrastructure in their own environment, ensuring code and data never leave their network, with dedicated support and custom SLAs.

Orchestrates 400+ models including frontier reasoning models (Kimi K2.6, Minimax-M2.5) and standard models (GPT-4, Claude, xAI), selecting optimal models for different task types. The system routes tasks to appropriate models based on complexity and cost, enabling developers to leverage specialized models (e.g., reasoning models for complex refactoring) without manual selection.

Identifies uncovered functions in the codebase, generates test cases for each function with appropriate assertions and edge cases, executes the test suite, and reports coverage improvements. The test-gen agent scanned 23 uncovered functions and generated 23 test cases, improving coverage from 47% to 89% in a single execution, producing .test.ts files ready for commit.

Analyzes current database schema, generates SQL migration files with proper versioning (e.g., 0047_add_teams.sql), validates foreign key constraints and indexes, and performs dry-run execution to catch errors before deployment. The migrate agent produces production-ready migration files with automatic validation of schema consistency.

Analyzes PR diffs (14+ files) to identify security anti-patterns (e.g., hardcoded credentials, CORS misconfigurations), performance issues (e.g., N+1 queries, inefficient loops), type coverage gaps, and generates review comments with approval/blocker decisions. The code-review agent scans patterns without requiring manual review, enabling automated quality gates.

Scans codebase to identify exported functions, classes, and APIs, generates Markdown documentation (api-reference.md, auth-guide.md, README), validates cross-references, and produces documentation ready for publishing. The docs agent identifies undocumented exports and generates comprehensive guides without manual documentation writing.

Scans dependency manifests (847+ packages), queries CVE databases for known vulnerabilities, checks for security anti-patterns (hardcoded credentials, token rotation, CORS misconfigurations), and produces audit reports with findings and remediation guidance. The security agent identifies both known vulnerabilities and code-level security issues in a single execution.

Profiles application bundle and Lighthouse metrics, identifies optimization opportunities (lazy-loading, tree-shaking, code splitting), applies transformations, and reports bundle size deltas and performance score improvements. The perf agent reduced bundle size from 312KB to 198KB (37% reduction) while maintaining functionality, producing production-ready optimized code.

Generates complete project skeletons from templates (microservice-ts, monorepo, etc.), including entry points, route handlers, database schemas, Docker configuration, and CI/CD workflows. The scaffold agent produces production-ready boilerplate that developers can immediately build upon, reducing project setup time from hours to seconds.

Orchestrates full deployment pipeline: runs build, lint, type-check, pushes artifacts to staging/production, and validates deployment with health checks (HTTP 200 OK). The deploy agent executes all pre-deployment validation steps and confirms successful deployment in a single execution, eliminating manual deployment steps.