agentic-sdlc

Agentic SDLC infrastructure. Define guardrails. Collect signals. Enforce continuously. Signed records of what your AI coding agents and CI/CD pipelines did, checked against policies as code, with the loop closed in CI/CD. AI sessions, SBOMs, VEX, SARIF and SLSA provenance, built on Sigstore and in-toto. Apache 2.0.

Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and ADR/PDR/ChDR decision records. Works with Claude Code, Codex, OpenCode, Cursor, Copilot, and more.

ERPAVal — autonomous software development. Six-phase Explore/Research/Plan/Act/Validate/Compound workflow with classifier-driven routing and a compounding lessons store.

Fast-ASDLC: 5x TTM with AI-native Agentic SDLC. Local-LLM first, Human-in-the-loop, Spec-driven. Built on DDD, Hexagonal Architecture, C4 Model & MCP. Features Meta-agents for self-improvement, Memory Bank for context persistence, and automated 100% test coverage. Everything-as-Code & Mermaid.js centric to save context window and slash token costs.

An executable, no-code SDLC graph that carries a feature from spec to PR — with explicit nodes, guards, bounded retry loops, and durable state. No framework. No SDK. No runtime to install. Your coding agent is the runtime.

The governance layer for agentic engineering — governs your architecture and compiles your engineering decisions into automatic enforcement.

Team operating model for hybrid human+AI delivery: one shared, drift-checked contract for authority, risk tiers, evidence, review, and done — with cloud-expert guardrails (Google Cloud, AWS, Azure, Alibaba Cloud) and Google ADK/Antigravity skills built in, routing agent-craft work to companion skill plugins.

An AI-native SDLC as a Claude Code and Codex plugin: six stages, one committed Markdown artifact each, a human gate at every handoff. Implements Anthropic's AI-Native SDLC playbook.

Agentic harness for large-scale AI code generation - by Grid Dynamics

A local orchestrator that takes your coding agent from spec to pull request, stopping only when a decision is yours.

Repo-native agentic SDLC governance/spec/attestation substrate

Dual-mode CLI for coding agents: skill management + agent execution + team lifecycle (setup, update, repair). Install skills, generate slash commands, wire lifecycle events, run any agent headlessly.

Agent-neutral assurance control plane for agent-driven SDLC.

An interactive, multi-page HTML book that teaches GitHub Agentic Workflows (gh-aw)

The reliability layer of the agentic SDLC, A proof-gated harness that drives coding agents from intent to independently proven, operable software.

Regulated FSI Agentic SDLC Blueprint: 5 Agent Archetypes, Dual-Lane Antigravity (AGY) + Google ADK 2.0, Spanner Graph MCP & NIST OSCAL 1.1.2 SEPA Instant Modernization Demo #spark-build #spark-build-days #emea-asset

Runnable reference implementation of the Agentic SDLC Playbook: seven stages, five planes, deterministic gates that refuse, and evidence as a by-product.

Portable equal-primary Claude and Codex agent harness for a governed agentic SDLC

The hosted SHIP MCP server. SHIP is your autonomous software team. Assign a Linear, Jira or GitHub issue to an AI coding agent team that plans, builds, reviews and tests pull requests. It is a headless AI software factory. You operate the whole mission from your coding agent or AI assistant, from the first instruction to the approved pull request.

Agent skills and a plugin for SHIP. SHIP is your autonomous software team. Assign a Linear, Jira or GitHub issue to an AI coding agent team that plans, builds, reviews and tests pull requests. It is a headless AI software factory. You operate the whole mission from your coding agent or AI assistant.