🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams
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.
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.
Agentic harness for large-scale AI code generation - by Grid Dynamics
Repo-native agentic SDLC governance/spec/attestation substrate
Agent-neutral assurance control plane for agent-driven SDLC.
The reliability layer of the agentic SDLC, A proof-gated harness that drives coding agents from intent to independently proven, operable software.
Codex plugin that turns requests, decisions, contracts, changes and verification into an auditable workflow and visual project timeline.
Portable equal-primary Claude and Codex agent harness for a governed agentic SDLC
Local, read-only profiler for Codex session usage, rate-card cost, and review-candidate patterns
Make every ticket ready for AI coding agents
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 SDLC on Azure: a natural-language request becomes a governed, reviewed pull request and a live Azure deployment - observed end to end in one Application Insights trace. Azure AI Foundry + APIM + GitHub Copilot cloud agent.
Open-source STEER Agentic SDLC framework, Work Management platform, adapters, and Federal BD reference project
Runnable reference implementation of the Agentic SDLC Playbook: seven stages, five planes, deterministic gates that refuse, and evidence as a by-product.
An interactive, multi-page HTML book that teaches GitHub Agentic Workflows (gh-aw)
The automation and the people advance in lockstep.
To associate your repository with the agentic-sdlc topic, visit your repo's landing page and select "manage topics."