How to Red Team Your AI Agent in 48 Hours – A Practical Methodology
Framework for AI red team assessments in 48 hours. Methodology for testing production AI agents with tool access against natural language attacks.
Framework for AI red team assessments in 48 hours. Methodology for testing production AI agents with tool access against natural language attacks.
MCP server enabling AI assistants to query MySQL, MongoDB, and AWS Athena through unified interface. Read-only by default.
Interview with OpenCode creator on AI coding agents. Discusses limitations and realistic productivity expectations versus hype.
Terminal tool that detects hardware specs and recommends which of 94 LLM models across 30 providers will run optimally.
Opinionated Python project template with uv, ruff, pytest, MkDocs, Docker, and GitHub Actions pre-configured.
Terminal and browser-based AI pair-programming tool with intelligent prompt caching, context management, and structured file editing.
Directory of 458+ security-scanned MCP skills and integrations for AI agents. Ranked by adoption and security audit scores.
Personal reflection on how AI/LLM adoption is affecting programming passion and the developer community.
Technical case study: rebuilding 19-year-old multi-tenant platform from scratch in one week using Claude Code AI agent.
zkzkAgent: privacy-focused local AI assistant for Linux built on LangGraph and Ollama with voice interaction and command automation.
Claude Code plugin that injects configurable development standards into every coding session using global instructions.
Technical opinion on semantic ablation in LLMs: erosion of high-entropy data through greedy decoding and RLHF causing generic outputs.
product.lock.json: JSON spec defining software product boundaries and AI management protocols. Encodes scope, review processes, decision tracking.
EnCompass: framework for AI agents separating workflow logic from search strategy. Developed with MIT researchers for exploring execution paths efficiently.
Blaze-DB: High-performance vector database in Rust using HNSW indexing and SIMD. Standalone, self-managed embeddings storage.
Production agent framework for Claude Code with persistent memory, 17 sub-agents, desktop automation, and safety hooks.
Fujitsu AI-Driven Software Development Platform using Takane LLM. Automates requirements, design, implementation, and testing.
Essay on judgment-powered AI agents autonomously taking actions. Example: agent calling owner via Twilio.
SmartKNN: production-focused KNN system with feature weighting and latency optimization for CPU deployment.
CoolWulf AI: self-hosted personal AI assistant in Go, optimized for macOS. Alternative to OpenClaw.
FutureEval: benchmark measuring AI agent forecasting accuracy across science, tech, health, geopolitics. Daily updates.
Unity announces AI for game generation from prompts. Marketing announcement, limited technical depth.
Research on agentic AI for insurance underwriting with adversarial self-critique mechanisms to ensure reliability in regulated, high-stakes environments.
BotzoneBench framework for evaluating LLMs in interactive strategic decision-making environments using graded AI anchors instead of LLM-vs-LLM tournaments.
VeRA framework for verified reasoning data augmentation at scale, converting benchmark problems into executable specifications for robust AI evaluation.
Research on agentic meta-synthesis of logic reasoning (SSLogic) for scaling verifiable training signals in reinforcement learning.
Taxonomy categorizing LLM hallucinations into three geometric types: unfaithfulness, confabulation, and factual error with distinct embedding signatures.
VaryBalance method detects LLM-generated text by analyzing variation patterns in generated vs human text without white-box access.
Theoretical framework proposing intelligence as multi-objective trajectory optimization to explain long-horizon adaptability limitations.
PlotChain deterministic benchmark evaluates multimodal LLMs on engineering plot reading with 450 rendered plots across 15 families.
Dual-cycle adversarial self-evolution framework improves safety of LLM role-playing agents against jailbreaks while preserving persona adherence.
Lang2Act enhances Vision-Language Models with self-emergent linguistic toolchains for fine-grained visual reasoning without rigid tool separation.
NL2LOGIC translates natural language to first-order logic using LLMs for automated reasoning in law and governance domains.
AST-PAC applies AST-guided membership inference attacks to detect unauthorized code usage in Code LLMs trained on restricted datasets.
DPBench benchmark evaluates LLM coordination in multi-agent systems under resource contention using Dining Philosophers problem across 8 conditions.
MAPLE proposes separating memory, learning, and personalization as distinct mechanisms in LLM agents operating on different timescales to improve user adaptation.
SELFCEST: Agentic RL training enabling base models to spawn parallel clones for efficient test-time compute allocation.
Benchmark evaluating LLM agents on temporal reasoning and time series tasks with progressive contextual and event information.
Unified benchmark evaluating 11 prompting paradigms across LLM families for moral reasoning and safety alignment.
Proposes organizational/institutional design patterns for multi-agent AI systems to achieve reliability through compartmentalization and adversarial review.
LLM-based agent simulating authentic student learning behaviors in open-ended problem-solving for education research.
Multi-agent system using LLMs to assist with ethics review and research governance decision-making.
Benchmark for evaluating multi-agent frameworks on academic slide generation and iterative editing tasks.
Frames user perspective modeling as inverse inference problem using situation graphs and ontology-aligned representations.
Theoretical framework analyzing error accumulation in Model Context Protocol agents, proving linear growth in cumulative distortion.
Detects jailbreak attempts in clinical LLMs using automated linguistic feature extraction instead of manual annotation.
Extends BDI agent explanation mechanism to support contrastive questions about agent decision-making choices.
Open-source 3B parameter language model achieving agentic behavior, code generation, and reasoning through reward modeling.
Benchmark for evaluating moral alignment in sequential decision-making agents using hierarchical deontic constraints and trolley-dilemma scenarios.
Proposes on-policy supervised fine-tuning as simpler alternative to RL for training reasoning models with better efficiency.