#software-engineering

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.

Universal multi-agent infrastructure for AI coding assistants. 26 specialist agents, 19 enforced workflow skills, and a lead orchestrator — for Claude Code, Codex CLI, Cursor, and OpenCode.

A persistent, risk-aware engineering protocol for Hermes Agent. Software has to earn done.

A shared knowledge vault + full software-engineering workflow for AI coding agents — run Claude Code and Codex in parallel with one memory, one plan.

An opinionated open-source coding agent client. Run Claude Code, Codex, and more - locally or in the cloud.

PAPPO is a patch-aware reinforcement learning algorithm and experimental RL framework for tool-using coding agents. It provides turn-level credit assignment, PPO training utilities, rollout extraction, critic baselines, benchmark runners, and reproducible evaluation pipelines for repository repair tasks.

Runbook AI: Operational Memory & Execution Discipline for Coding Agents 2026

A reusable AI-first development framework for building software with AI agents.

Engineering craft for Claude Code — TDD, verification, code quality, and SDLC discipline.

AI agent for Azure DevOps work item analysis, sprint readiness, RAG-based code understanding, and developer task planning.

AISEF — AI Software Engineering Framework: one requirements file in, a gated and evidence-backed application out. Agents do the judgement; code enforces the guarantees.

The open standard for AI-ready software specifications

Specification-first governance framework for AI-assisted software projects.

Reverse-engineer any Python codebase into an interactive architecture knowledge graph with AI-powered layer detection, community discovery, and living documentation

Resolves repository-native commands for AI coding agents with provenance, overrides, and CI drift detection.

Portable SWE harness plugin for Codex and Claude Code

Tests exact agent interventions—skills, prompts, models, tools, and workflows—and publishes what changed, what failed, and what decision follows.

12 Factor App × 12 Factor Agent 合并方法论知识图谱：DAG 组织 + 桥接主题 + 双交付（HTML 交互图 + AI 友好 MD），cytoscape 在线预览

Catch AI coding-agent scope creep before you commit. Overscope compares Claude Code and Codex sessions with your git diff to flag out-of-scope edits, deleted tests, hidden dependencies, and false completion claims. Local, deterministic, no model or API key.

A curated index of engineering roles from YC startups, VC-backed companies, and major tech. Classified by Claude, updated hourly.

Safe Codex orchestration with Grok execution, Claude review, and guarded quality gates

Your agent ships. You stay dangerous. A demanding code coach for Claude Code and Codex.

Curated papers, benchmarks, datasets, environments, and engineering notes for repository-level coding agents.

Engineering methodology skills for Claude Code agents — planning, TDD, diagnosis, architecture

A methodology for preserving decision lineage in AI-assisted development.

HashForge — AI-native software engineering platform: multi-agent SDLC pipeline for Claude Code (idea → verified, release-ready software)

Diago turns engineering work into AI-powered, evidence-grounded software diagrams for Codex and Claude.

Computer Science student building projects in Python, AI/ML, web development, and software engineering.

Context-efficient AI agents for software engineering. Turns tasks into investigated, implemented, validated and independently reviewed changes.

Agentic Contract-Governed Development (ACGD): contract-governed delivery for teams of AI coding agents — interface registries, role-scoped agent briefs, compliance gates and independent verification.

Zero-config Claude Code setup with enforced task scaffolding, structured memory, persistent context after compaction, plug-in code standards, optional TDD mode, and zero behavior changes for developers.

Personal engineering portfolio for Elias Lim (Agentic AI, Full-Stack & Machine Learning)

Evidence-governed harness engineering for agentic software development — mechanical gates over model consensus. Working paper + artifacts.