Antigravity-First AI Tooling
Built ground-up for Google Antigravity (IDE, CLI agy, agent skills runtime). Includes progressive disclosure skills in .agents/skills and authoritative invariants.
Optimal developer defaults, pure-Go SQLite backlog DAG, zero-CGo static compilation, local LLM tiering ($0.00 first), and pluggable Model Context Protocol (MCP) server.
go install github.com/gosecio/gosec/cmd/gosec@latest Core Pillars
Built ground-up for Google Antigravity (IDE, CLI agy, agent skills runtime). Includes progressive disclosure skills in .agents/skills and authoritative invariants.
Embedded DAG task coordination in db/backlog/backlog.sqlite using modernc.org/sqlite. Zero CGo dependencies, strictly MCP-governed for AI coding agents.
Seamlessly routes boilerplate generation and code analysis to local Ollama (qwen3-coder:30b / deepseek-r1:14b) with graceful fallback to Gemini 3.8 Flash.
Compiled strictly with CGO_ENABLED=0 across Go 1.27.1. Hermetic, cross-platform static binaries with sub-millisecond execution.
Every capability is simultaneously delivered as an importable Go package, a CLI command (cmd/gosec), and a strongly typed stdio MCP tool.
Interactive CLI wizard to scaffold Go archetypes (CLI, REST API, Stdio MCP Server, Library, Astro fullstack) with selectable features (Devcontainer, MkDocs, CI/CD).
Lifecycle Governance
Antigravity and AI agents follow strict invariants to ensure deterministic quality, zero regression, and reproducible static builds.
SQLite DAG stage transition & prerequisite checking strictly via stdio MCP tools.
Mandatory live web lookup before adopting external packages. Zero training-cutoff assumptions.
Contract testing first. Race-condition-free Go concurrency verification (go test -race).
Zero-CGo static binary compilation to bin/ and doctor system diagnostics.
Material for MkDocs, Mermaid diagrams, and LLM discoverability in docs/.
Multi-arch packaging, SHA256 checksum generation, and semantic version tagging.
Model Context Protocol
cmd/mcp-server connects Antigravity and AI coding agents directly to your project's capabilities. Features are dynamically discovered and toggled in config.yaml.
Calculates unblocked tasks whose DAG prerequisites are met in SQLite.
Zero-cost local LLM inference via Ollama with automatic cloud fallback.
Checks Go compiler version, Git status, and Ollama connectivity.
Analyzes CI failure logs and synthesizes root causes with Gemini API.
Scaffolds new Go package adhering to Rule 14 with Go API, MCP tool, & tests.
Getting Started
Verify Go 1.27.1 compiler, Git VCS, and local Ollama inference server connectivity.
$ gosec doctor Scaffold a new production-ready Go project with chosen components.
$ gosec init myapp --archetype=cli Generate a new package adhering to Rule 14 with Go API, MCP tool, and unit tests.
$ gosec new package audit --desc="Security audit trail" Compile zero-CGo static binaries and run race detector test suite.
$ make build && make test Connected Intelligence
Engineered for full-lifecycle AI software delivery: scaffolding, runtime security policy enforcement, and autonomous agent systems.
Zero-CGo static binaries, pure-Go SQLite backlog management, $0.00 local LLM tiering, and multiplexed stdio MCP tooling for Antigravity AI pair programming.
Declarative in-kernel hypervisor and hardware-enforced sandboxing for AI agents. Sub-5µs Google CEL security policies and context DLP protection.
Digital innovation studio and systems lab researching cognitive AI agent workflows, edge developer infrastructure, and open-source ecosystems.