Antigravity-First AI Tooling & Scaffolding Chassis

Modern Go Starter Engineered for AI Agents

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.

quick install
go install github.com/gosecio/gosec/cmd/gosec@latest

Core Pillars

Engineered for the Modern AI Agent Era

AI Architecture

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.

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Task Ledger

Pure-Go SQLite Backlog DAG

Embedded DAG task coordination in db/backlog/backlog.sqlite using modernc.org/sqlite. Zero CGo dependencies, strictly MCP-governed for AI coding agents.

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FinOps

Local LLM Tiering ($0.00 First)

Seamlessly routes boilerplate generation and code analysis to local Ollama (qwen3-coder:30b / deepseek-r1:14b) with graceful fallback to Gemini 3.8 Flash.

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Static Go

Zero-CGo Static Go

Compiled strictly with CGO_ENABLED=0 across Go 1.27.1. Hermetic, cross-platform static binaries with sub-millisecond execution.

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Rule 14

Rule 14 Mandatory AI Coverage

Every capability is simultaneously delivered as an importable Go package, a CLI command (cmd/gosec), and a strongly typed stdio MCP tool.

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Generator

Modular Scaffolding Engine

Interactive CLI wizard to scaffold Go archetypes (CLI, REST API, Stdio MCP Server, Library, Astro fullstack) with selectable features (Devcontainer, MkDocs, CI/CD).

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Lifecycle Governance

The 6-Phase Clean-Room Engineering Cycle

Antigravity and AI agents follow strict invariants to ensure deterministic quality, zero regression, and reproducible static builds.

PHASE 01

Backlog

SQLite DAG stage transition & prerequisite checking strictly via stdio MCP tools.

PHASE 02

Research

Mandatory live web lookup before adopting external packages. Zero training-cutoff assumptions.

PHASE 03

TDD

Contract testing first. Race-condition-free Go concurrency verification (go test -race).

PHASE 04

Verification

Zero-CGo static binary compilation to bin/ and doctor system diagnostics.

PHASE 05

Documentation

Material for MkDocs, Mermaid diagrams, and LLM discoverability in docs/.

PHASE 06

Release

Multi-arch packaging, SHA256 checksum generation, and semantic version tagging.

Model Context Protocol

Multiplexed Stdio JSON-RPC 2.0 Server

cmd/mcp-server connects Antigravity and AI coding agents directly to your project's capabilities. Features are dynamically discovered and toggled in config.yaml.

  • Pure Go stdio JSON-RPC 2.0 multiplexer
  • Rule 14: Strong typing and input schema validation
  • Native Antigravity progressive disclosure integration
mcp_config.json → bin/mcp-server

backlog_get_ready_tasks

backlog

Calculates unblocked tasks whose DAG prerequisites are met in SQLite.

ollama_generate

ollama

Zero-cost local LLM inference via Ollama with automatic cloud fallback.

doctor_diagnose

doctor

Checks Go compiler version, Git status, and Ollama connectivity.

triage_log

triage

Analyzes CI failure logs and synthesizes root causes with Gemini API.

scaffold_package

scaffold

Scaffolds new Go package adhering to Rule 14 with Go API, MCP tool, & tests.

Getting Started

Zero-to-Production in Seconds

  1. Step 01

    Verify Go 1.27.1 compiler, Git VCS, and local Ollama inference server connectivity.

    $ gosec doctor
  2. Step 02

    Scaffold a new production-ready Go project with chosen components.

    $ gosec init myapp --archetype=cli
  3. Step 03

    Generate a new package adhering to Rule 14 with Go API, MCP tool, and unit tests.

    $ gosec new package audit --desc="Security audit trail"
  4. Step 04

    Compile zero-CGo static binaries and run race detector test suite.

    $ make build && make test

Connected Intelligence

The AI Engineering Ecosystem

Engineered for full-lifecycle AI software delivery: scaffolding, runtime security policy enforcement, and autonomous agent systems.

Scaffolding Chassis gosec.io

Go Starter & Task DAG

Zero-CGo static binaries, pure-Go SQLite backlog management, $0.00 local LLM tiering, and multiplexed stdio MCP tooling for Antigravity AI pair programming.

Security Plane ctxsec.io

Context Security Plane

Declarative in-kernel hypervisor and hardware-enforced sandboxing for AI agents. Sub-5µs Google CEL security policies and context DLP protection.

Innovation Lab emaik.io

Autonomous AI Engineering

Digital innovation studio and systems lab researching cognitive AI agent workflows, edge developer infrastructure, and open-source ecosystems.

Discover emaik.io → Coded with 💖