Structurally enforced Clean Architecture for LLM-driven development
A framework that makes Clean Architecture's dependency rule structurally unbreakable, similar to OS kernel isolation. It ensures that code layers cannot violate inward-only dependencies at compile time, which is particularly useful for LLM-generated code where conventional review may be unreliable. Targets developers using LLMs to generate or modify codebases.
Related
Enola: engineering intelligence layer for AI coding agents
Enola is an open-source engineering intelligence layer that helps AI coding agents understand existing codebases. It answers questions about change impact, dependency reachability, safe module deletion, refactoring priorities, and architecture drift. The tool uses LLMs to analyze code context and provide insights that reduce mistakes from both humans and AI agents.
Runeward: Sandbox AI agents with policy gates
Runeward is a sandboxing tool for AI agents that enforces policy gates to restrict agent actions. It uses LLMs to interpret and enforce user-defined policies, solving the problem of unsafe or unintended agent behavior for developers building autonomous AI systems.
LVRP: Open-source local vulnerability research pipeline uses 14B code LLM for exhaustive source-to-sink analysis
A new open-source tool called LVRP (Local Vulnerability Research Pipeline) uses a 14B code-specialized LLM to exhaustively analyze source code for vulnerabilities. It combines code graph and LLM hybrid architecture to enumerate and validate all source-to-sink paths, scaling from small scripts to large codebases like the Linux Kernel and VSCode.
CleanSlate IDE with built-in agent manager for multi-agent coding workflows
CleanSlate is an IDE that integrates an agent manager directly, allowing developers to create, manage, and switch between multiple coding agents without leaving the editor. It solves the friction of toggling between separate agent management tools and the IDE, enabling seamless context preservation and multi-agent orchestration for developers working with LLM-powered coding agents.
Declarative, sandboxed language for tool orchestration with LLMs
Skillscript is a small, declarative language for defining fixed procedures that local agents execute consistently, avoiding LLM drift and token waste. It lets users write and version agent behaviors instead of relying on model guesses each time. Solves the problem of unreliable, costly agent task execution for developers building local AI agents.