Armorer v0.1.19, an experimental local control plane designed to manage the operational challenges of running AI agents, such as configuration drift and failed runs. Unlike an agent framework, Armorer…
Using GitHub Copilot CLI as a triage tool to manage open-source contributions across over 40 repositories. The workflow relies on four key prompts: explaining a repo's architecture, locating specific …
Tool-using research agent built for the Gemma 4 DEV Challenge, which runs locally on the Gemma 4 e2b model via Ollama using roughly 200 lines of Node.js code. The agent accepts a question, selects bet…
The author successfully ran Google's new Gemma 4 open models (2B and 4B parameters) on a laptop using Ollama during Google I/O 2026 week. To make the small 2B model function as a useful research agent…
To measure and monitor prompt cache hit ratios in Hermes Agent to reduce costs, as cache-breaking significantly increases expenses. It introduces a Python library called cachebench that wraps model cl…
Fully local AI system using Llama 3 and LangChain to enable natural language querying of an internal SQLite database, eliminating any data being sent to third-party servers and avoiding legal complian…
TinyFish achieved an 81% success rate on the Mind2Web benchmark, significantly outperforming OpenAI Operator's 43% score on hard web tasks. The company tested its web agent across all 300 tasks on liv…
A system streaming AI model outputs in realtime experienced severe latency spikes, message loss, and connection storms after scaling to 100,000 WebSocket connections, revealing the inadequacy of a sim…
Manual testing remains a vital component of software quality assurance despite the rise of automation and AI, as it offers unique strengths like empathy for user experience and flexibility. Key manual…
The article identifies key strategic mistakes startups make when integrating AI, noting that roughly 90% of AI-native startups fail within their first year due to poor strategy and data quality rather…
According to a 2024 McKinsey report, organizations are shifting from using AI as a productivity tool to embedding agentic systems—autonomous orchestrators—into core business processes, marking a funda…
Slow single-image diffusion model inference is primarily caused by kernel launch overhead and attention memory traffic, not by a lack of computational power. It recommends using `torch.compile` with `…
Hermes Agent is an open-source agent framework developed by Nous Research that can run on various infrastructures, from a low-cost VPS to a GPU cluster. Unlike most agent frameworks, it is self-improv…
Deploying large language model (LLM) systems in production is far more complex than simple tutorial demos, as real-world challenges like state changes, concurrency, and regulatory scrutiny break naive…
Relying on autonomous OSINT (Open Source Intelligence) AI agents, which are gaining popularity in Japanese security communities, leads to "skill atrophy" among human analysts. It describes a "Skeleton…
Agent Deployment as a Service (ADaaS) is a delivery model where specialist firms deploy working AI agents directly into a client's production environment, replacing traditional consulting that often o…
AI, particularly large language models (LLMs), should generally not be used for software development due to significant trade-offs, including mental atrophy, loss of ownership, increased maintenance c…
The author, an AI professional, built an AI narrative platform called WYRD in about a month for roughly $467 using the OpenClaw agent framework, despite not being a developer. The platform allows user…
An AI agent was deployed on GetClawCloud and connected to a Telegram bot, where it autonomously received a video, wrote its own Python code to process it, and sent the result back without any manual s…
Development of a full-stack mobile and AI-powered supply chain optimization app built with FastAPI, React Native, and data science tools. The project integrates AI directly into a real application, us…