Build the TypeScript LSP server for Rholang and MeTTa powered by Hyperon inference over Atomspace code representations. This milestone delivers ONE thing: a production-quality LSP that maintains a live Atomspace graph and formulates all code intelligence as inference queries. The server provides completions, diagnostics, hover info, go-to-definition, and refactoring for both languages. Completions use Hyperon backward-chaining: given type context and bindings, what expressions satisfy constraints? Results are logically guaranteed well-typed. For Rholang: channel tracking through par compositions, name equivalence reasoning, linearity violation diagnostics. For MeTTa: native type system integration, pattern-aware completions, grounded atom support. The Atomspace code graph captures every definition, type, channel binding, import, and dependency as typed atoms. This is the foundation for M2 and M3. Implementation uses vscode-languageserver-node framework with Hyperon JavaScript bindings for direct Atomspace queries. Ships as VS Code extension.

1. TypeScript LSP server supporting Rholang and MeTTa with Hyperon JS bindings for inference queries against Atomspace code graphs. 2. Atomspace code graph builder parsing both languages into typed atom representations with definitions, types, channel bindings, imports, dependencies. 3. Type-directed completion engine formulating requests as Hyperon backward-chaining queries, returning well-typed suggestions with proof traces. 4. Diagnostic engine: Rholang channel linearity violations, unbound names, type mismatches; MeTTa undefined atoms, type errors, pattern match failures. 5. Hover information and go-to-definition via Atomspace graph traversal. 6. VS Code extension with install-and-go activation. 7. 200+ test cases covering both languages across all LSP features. 8. Architecture docs, Atomspace schema reference, setup guide.

$10,000 USD

1. LSP starts in <3s, completions within 200ms for projects up to 50 files in both languages. 2. Type-directed completions achieve 95%+ type-correctness (every suggestion type-checks). 3. Diagnostics detect 90%+ of common errors in both languages (tested against corpus of 50+ files with injected errors). 4. Atomspace graph correctly represents 100% of top-level definitions for test corpus of 20+ contracts. 5. VS Code extension installs without errors on Windows, macOS, Linux. 6. All 200+ tests pass in CI. 7. Three independent Rholang/MeTTa developers validate suggestions are superior to existing tooling.

Deliver Hyperon inference AI coding assistant and BlockDAG DevNet deployment CLI with CBC Casper finality. The AI assistant uses Atomspace reasoning for type-directed synthesis: developer describes contract, assistant decomposes into Hyperon backward-chaining sub-goals, constructs code with proof traces. Concept blending synthesizes novel patterns from Atomspace compositional reasoning. The DevNet CLI handles compile, deploy, verify, monitor for both languages on BlockDAG infrastructure. CBC Casper finality tracker reports deployment status in real-time. Singularity Compute integration estimates resources pre-deployment. Atomspace-informed dependency ordering and gas optimization. Self-extending feedback: accepted/rejected suggestions become evidence atoms for evolutionary optimization of inference strategies. Both components integrate with M1's shared Atomspace instance.

1. AI assistant with natural language interface decomposing specs into Hyperon sub-goals, producing code via type-directed synthesis with proof traces. 2. Concept blending engine synthesizing novel contract patterns from Atomspace composition with preservation proofs. 3. DevNet deployment CLI: compile, verify, deploy, monitor for Rholang and MeTTa on BlockDAG. 4. CBC Casper finality monitor tracking deployment transactions through consensus with real-time status. 5. Singularity Compute integration for resource estimation and gas optimization via Atomspace execution path analysis. 6. MeTTa-based verification pipeline blocking deployment of contracts failing spec checks. 7. Self-extending feedback capturing interactions as Atomspace evidence atoms with evolutionary optimization. 8. CLI docs with DevNet deployment tutorials.

$35,000 USD

Deliver Hyperon inference AI coding assistant and BlockDAG DevNet deployment CLI with CBC Casper finality. The AI assistant uses Atomspace reasoning for type-directed synthesis: developer describes contract, assistant decomposes into Hyperon backward-chaining sub-goals, constructs code with proof traces. Concept blending synthesizes novel patterns from Atomspace compositional reasoning. The DevNet CLI handles compile, deploy, verify, monitor for both languages on BlockDAG infrastructure. CBC Casper finality tracker reports deployment status in real-time. Singularity Compute integration estimates resources pre-deployment. Atomspace-informed dependency ordering and gas optimization. Self-extending feedback: accepted/rejected suggestions become evidence atoms for evolutionary optimization of inference strategies. Both components integrate with M1's shared Atomspace instance.

Deliver browser-based playground as thin wrapper around M1 LSP and complete ecosystem integration. Monaco editor connects to LSP server via WebSocket (no WASM compilation needed since LSP is TypeScript). Managed DevNet node for live contract deployment. 10+ guided tutorials using AI assistant from M2. Side-by-side comparison showing Hyperon inference suggestions with proof traces vs LLM confidence scores. Community Atomspace aggregation collecting anonymized patterns across users to improve inference ecosystem-wide. Cross-component integration ensuring LSP, AI assistant, CLI, and playground share Atomspace state. Performance optimization, documentation, video walkthroughs, onboarding materials.

1. Web playground with Monaco editor connected to LSP via WebSocket, full code intelligence for Rholang and MeTTa. 2. Managed DevNet connection for deploying contracts to live BlockDAG without local setup. 3. 10+ interactive tutorials: Rholang basics, MeTTa fundamentals, contract patterns, deployment workflows. 4. Side-by-side comparison mode: inference suggestions with proof traces vs LLM predictions with confidence scores. 5. Community Atomspace aggregation collecting anonymized developer patterns to improve inference. 6. Cross-component integration tests: LSP + AI + CLI + playground with shared Atomspace. 7. Performance: playground loads <5s, completions <500ms. 8. Launch docs, video walkthroughs, community onboarding.

$5,000 USD

1. Playground loads and interactive within 5s on standard broadband, completions within 500ms. 2. New developers complete intro Rholang tutorial in 30min and deploy first contract, validated with 10+ testers. 3. Side-by-side comparison: 80%+ of test users correctly identify inference vs statistical suggestions. 4. Community Atomspace processes 50+ sessions and demonstrates measurable suggestion improvement. 5. All cross-component integration tests pass. 6. Playground supports 50+ concurrent users. 7. Docs receive positive feedback from 5+ community reviewers.