llm-agents-coding-agents

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.

Cost-aware multi-agent orchestrator kit for OpenCode CLI — one routing agent, 14 specialized subagents, zero application code touched by the router.

Practical playbook for AI-assisted engineering: rules, role separation, and guardrails for teams using Cursor/Copilot in production codebases (CC BY 4.0).

An automated AI research-code writer and AI research-paper writer implementation through a skills+ autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.

Automate research paper writing with this multi-agent skill pack for coding agents. Convert unstructured data into LaTeX papers using the PaperOrchestra pipeline.

Adversarial evaluation and safety framework for reliable computer-use agents, built with Solari.

A Docker-sandboxed coding-agent evaluation harness with controlled tools, trace logging, metrics, and failure analysis. Evaluated ReAct against one-step lookahead agents in created sandbox.

Rule lifecycle governance for LLM agents — human adjudication pipeline, mid-execution watchdog, cross-harness portable export.

GitHub-native standard for AI coding agent handoff, project context, and coordinated human-agent development.