Build the two core infrastructure components that every ASI:Chain developer needs immediately. The Rholang LSP provides real-time syntax parsing with error recovery, process algebra-aware autocompletion, channel name tracking, and basic type inference for concurrent patterns. The MeTTa LSP provides atom expression parsing, dependent type checking, grounded atom resolution, and pattern match analysis against local Atomspace instances. Both LSPs share a common diagnostic bridge that catches errors at the Rholang-MeTTa boundary. The DevNet deployment CLI provides one-command contract deployment with automatic compilation, signing, submission, and BlockDAG confirmation tracking. It includes deployment history logging, multi-contract dependency resolution based on channel references, and phlogiston cost estimation. Both LSPs are tested against 30+ code samples covering common patterns and known edge cases in each language.

1. Rholang LSP: syntax parsing with error recovery, autocompletion for processes/channels/contracts, name binding analysis, go-to-definition, symbol search, and hover documentation — packaged as VS Code extension with extension marketplace listing 2. MeTTa LSP: atom expression parsing, dependent type checking, grounded atom resolution, pattern match preview, and Atomspace connection for live knowledge exploration — packaged as VS Code extension 3. Cross-language diagnostic bridge catching MeTTa-Rholang interop errors at the type and channel boundary 4. DevNet deployment CLI: compile, sign, deploy, track confirmation, and log deployment history in one command 5. BlockDAG transaction tracker showing real-time DAG position, validator propagation, and CBC Casper finality status 6. Multi-contract orchestration with automatic dependency resolution based on channel reference analysis 7. Phlogiston cost estimator providing pre-deployment cost analysis based on contract complexity 8. 30+ test cases per LSP covering common patterns, edge cases, and error recovery scenarios 9. All code published on GitHub under MIT license with CI/CD pipeline and contributor guide

$9,000 USD

1. Rholang LSP provides real-time error diagnostics with <500ms latency in VS Code for files up to 1000 lines, including error recovery on incomplete code 2. MeTTa LSP correctly type-checks 90%+ of Hyperon example programs without false positives, with Atomspace connection for grounded type resolution 3. Cross-language diagnostic bridge detects 5 known MeTTa-Rholang interop error patterns including type mismatches and channel naming inconsistencies 4. DevNet CLI successfully deploys and confirms 10 different contract types on DevNet with deployment receipts logged 5. BlockDAG tracker accurately shows transaction DAG position and CBC Casper finality progress in real time 6. Multi-contract deployment correctly resolves dependency ordering for 3-contract test systems with automatic channel analysis 7. All test suites pass with >90% coverage on core parsing, type checking, and deployment logic 8. External developer (not on team) installs and uses both LSPs without assistance within 15 minutes

Build the AI coding assistant that runs on Singularity Compute and understands Rholang process algebra and MeTTa Atomspace patterns. The assistant provides natural language to code generation for both languages, code explanation with concurrency analysis (identifying potential race conditions and deadlocks in Rholang), a curated pattern library of 50+ reusable contract and reasoning templates, contextual error diagnosis integrated with LSP diagnostics, and MeTTa reasoning template generation for common AI agent patterns. The assistant runs on Singularity Compute, demonstrating the platform's utility for AI workloads within the ASI:Chain ecosystem. Simultaneously, build the web playground: a browser-based environment with the same LSP diagnostics, connected to a sandboxed DevNet for instant execution, shareable URLs for examples and bug reports, and pre-loaded tutorials covering token creation, governance, oracle integration, and AI agent deployment. The playground is a static web application with minimal backend, ensuring low hosting costs and high scalability.

1. AI coding assistant with Rholang code generation from natural language descriptions, producing process-algebra-correct concurrent code 2. AI coding assistant with MeTTa reasoning template generation for common agent patterns including perception, inference, and learning loops 3. Code explanation engine analyzing concurrent behavior, identifying race conditions, deadlocks, and channel misuse with plain-language descriptions 4. Curated pattern library: 50+ verified Rholang and MeTTa patterns covering tokens, governance, oracles, agents, and multi-party computation 5. LSP-integrated error diagnosis: AI explains errors in context and suggests syntactically correct fixes with one-click application 6. Singularity Compute integration: all assistant inference runs on decentralized compute with fallback to local inference if unavailable 7. Web playground with browser-based Rholang and MeTTa editors using full LSP diagnostics including autocompletion and error highlighting 8. Sandbox DevNet connection for instant in-browser contract execution with transaction result display 9. Shareable playground URLs with state persistence, and 5 pre-loaded interactive tutorial walkthroughs

$30,000 USD

1. AI generates compilable Rholang for 8 out of 10 natural language contract descriptions, with correct process algebra patterns 2. AI generates valid MeTTa reasoning templates for 5 common agent patterns that type-check against Atomspace 3. Code explanation correctly identifies concurrency issues (races, deadlocks, channel misuse) in 4 of 5 test Rholang programs 4. Pattern library covers the 10 most-requested contract types identified through ASI:Chain community survey and forum analysis 5. Error diagnosis provides actionable, syntactically correct fix suggestions for 80%+ of common LSP-reported errors 6. Singularity Compute integration processes AI requests with <10 second average response time, with graceful local fallback 7. Web playground loads in <3 seconds and successfully executes contracts against sandbox DevNet with visible results 8. Shareable URLs correctly reproduce full code state and editor configuration for 100% of shared playground sessions 9. 3 external developers complete a full tutorial walkthrough without assistance and rate usability 4+/5

Integrate all four components into a cohesive toolkit, conduct thorough cross-component testing, perform user testing with real ASI:Chain developers, and launch to the ecosystem. Integration work includes connecting the AI assistant to the LSP for contextual suggestions within editors, linking the deployment CLI to the playground for one-click DevNet deployment from the browser, and adding the BlockDAG transaction monitor as both a CLI output and a VS Code panel. User testing involves recruiting 5+ ASI:Chain developers to use the complete toolkit for real development tasks, collecting feedback, and iterating on pain points. Documentation covers installation guides, API references, tutorial series, and video walkthroughs. Community launch includes publishing packages to npm/PyPI, announcing on ASI:Chain developer channels, and presenting at a SingularityNET community call. All components are hardened for production use with error handling, graceful degradation, and offline capability for the LSPs.

1. Integrated VS Code experience: LSP diagnostics, AI assistant inline suggestions, and deployment panel working together in a single workspace without conflicts 2. Playground-to-DevNet deployment pipeline enabling one-click browser deployment with real-time transaction confirmation feedback 3. BlockDAG monitor as both VS Code panel and CLI output showing DAG structure, validator propagation, and CBC Casper finality visualization 4. User testing report: structured feedback from 5+ ASI:Chain developers using the full toolkit for real development tasks, with prioritized improvement recommendations 5. Comprehensive documentation: installation guide for all platforms, API reference for all tools, and 3 end-to-end tutorial walkthroughs covering different use cases 6. Video walkthrough: 10-minute narrated demo covering the complete developer workflow from code authoring to DevNet deployment 7. npm/PyPI packages published for all components with semantic versioning and automated release pipeline 8. Production hardening: comprehensive error handling, offline LSP mode for disconnected development, and graceful Singularity Compute fallback 9. Community launch: blog announcement, presentation at SingularityNET community call, and tutorial promotion on developer channels

$5,000 USD

1. All four components (LSP, AI assistant, deployment CLI, playground) work together without conflicts in a single VS Code workspace across Windows, macOS, and Linux 2. End-to-end workflow (write Rholang/MeTTa code, get AI help, deploy to DevNet, monitor on BlockDAG) completes in <5 minutes for a standard token contract 3. 5 external developers successfully complete real development tasks using the complete toolkit, including at least one multi-contract deployment 4. User satisfaction score of 4+/5 from testing participants on core workflow usability, with specific feedback on LSP responsiveness and AI helpfulness 5. Documentation enables a new developer to install all components and deploy their first contract to DevNet within 30 minutes 6. All packages published and installable via standard package managers (npm for JS, pip for Python) with dependency resolution 7. Zero critical bugs and fewer than 5 non-critical bugs in the production-hardened release candidate 8. Video demo viewed by 50+ community members within first week, with engagement metrics tracked