🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams
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Updated
Aug 14, 2026 - Shell
🐙 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.
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 interactive, multi-page HTML book that teaches GitHub Agentic Workflows (gh-aw)
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
Risk scoring for deciding how much supervision AI coding agents need.
Codex plugin that turns requests, decisions, contracts, changes and verification into an auditable workflow and visual project timeline.
Telenor Agentic SDLC pilot — planner/coder/reviewer loop on Claude Code with human checkpoints, provenance gating, and a self-updating delivery dashboard.
Host-side launcher for ADDA Dev Runtime as isolated, ephemeral, hardened contained environment for AI Agentic development projects following ADDA SDLC
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