An independent speed tracker, ollamatps.com, benchmarks 42 Ollama Cloud models by measuring time to first token (TTFT) and tokens per second (TPS). The tracker reveals that smaller models can be faste…
A developer built AICS, an AI-powered customer support and lead capture system that works 24/7. The system uses Node.js, Express, Google Gemini API, RAG, and Qdrant vector database to answer visitor q…
A developer built Lynkr, an open-source LLM gateway that provides a single OpenAI-compatible endpoint for multiple model providers, and configured it to work with LibreChat, an open-source AI chat pla…
MoVerse achieves 8 FPS real-time 360° walkthrough video on a single NVIDIA RTX 4090, demonstrating that interactive generative video no longer requires a multi-GPU cluster. The system uses a causal au…
A developer argues that most companies are using AI inefficiently by routing all queries to the most powerful model, leading to high costs and slow performance. They propose a smarter pipeline using a…
SectorFlow Engineering developed a skills file pattern to manage Claude Code context efficiently. Instead of appending all rules to a single CLAUDE.md file, they split context into separate files unde…
A developer identified that AI-generated user interfaces often look 'off' due to incoherence—components designed in isolation without consistent design decisions. The fix is to define and reuse a sing…
SectorFlow Engineering reduced Claude Code context overhead by 60% by replacing a monolithic 400-line CLAUDE.md file with task-specific skill files. The team also cut token waste by having engineers p…
A senior Kubernetes engineer has developed a practical workflow for auditing Kubernetes manifests using AI assistants. By scoping prompts to specific categories like probes and graceful shutdown, and …
A developer connected ChatGPT to FORMLOVA's remote MCP server, enabling ChatGPT to create and operate forms directly via tool calls. The setup uses OAuth authentication and a remote MCP URL, allowing …
A developer outlines a blueprint for building a natural language query interface for databases using LLMs. The system architecture includes schema retrieval via RAG, prompt assembly, SQL generation, v…
A developer used the low-code tool n8n to build self-hosted AI-powered automation workflows, prioritizing data privacy and control. By deploying n8n with Docker Compose, PostgreSQL, and Redis, the dev…
A developer building a Data Engineering Copilot argues that enterprise AI products should not start as chatbots. Instead, the MVP is a controlled workflow application that takes structured metadata as…
A developer built an MCP server that charges AI agents per call using x402 micropayments, a protocol based on EIP-3009 that enables machine-to-machine payments without human sign-up. The server uses a…
Andrej Karpathy's open-source 'autoresearch' repo introduces a pattern for structuring AI-agent work that generalizes beyond machine learning. The pattern divides responsibility into a fixed evaluator…
QuantaMind has developed a platform that addresses fragmentation in local LLM tool-calling by using a text-prompt structure as a universal baseline and providing a side-by-side native function-calling…
A developer built an AI pipeline using FastAPI, Kafka (Redpanda), and Python workers to decouple services and handle bursty workloads. The architecture splits the API from background processing, impro…
A developer shared a set of agent skills used for development, including skills for interviewing users about plans, creating PRDs, breaking down plans into GitHub issues, implementing tasks with TDD, …
Anthropic's own postmortem revealed that three innocent-looking config changes quietly degraded Claude's output for weeks before being detected, highlighting that AI quality drift is often invisible a…
The Data Quality ETL Starter project v0.7.0 now processes the UCI Online Retail dataset, demonstrating its ability to handle real-world data. The workflow prepares the public dataset locally, runs it …