LLM inference splits into prefill and decode phases, which place different demands on compute and memory bandwidth, and latency metrics such as time to first token (TTFT) and inter-token latency (ITL)…
A developer argues that AI is making programmers 'stackless,' reducing the importance of specific technology expertise while elevating engineering experience as the new competitive advantage. The auth…
A developer built an AI agent to act as a marketing boss, which directed a 30-day campaign for two open source projects, including producing an 11-part demo video. The agent's commands led to the crea…
A developer explains that rate limiting is not a single layer but three distinct layers, each defending against different failure modes. They describe how LogicVisor, a public AI tool, uses a stack of…
A developer explains how to implement memory systems for retrieval-augmented generation (RAG) in large language models, distinguishing between short-term memory (using Redis, Valkey, Memcached, or Cos…
Redis maintainer antirez proposed a draft pull request (#15635) that reimplements large sorted sets with a packed B+ tree, replacing the skiplist and dictionary to cut memory usage by 45–60% and speed…
Tanchi, an open-source AI prospecting agent that automates only email outreach, has been released on GitHub by tanchihq. The self-hostable system sources, researches, writes, and follows up on B2B pro…
Anansi, an open-source, self-hostable memory API for LLM applications, was released on GitHub under the MIT license, with a commercial enterprise layer. It provides two API calls, /v1/ingest and /v1/c…
A developer detailed how to achieve sub-200ms latency for Flutter generative UI real-time using a Node.js backend with Fastify and Redis caching. The approach, tested with Claude 3 Haiku, emphasizes c…
A developer has shared techniques for reducing machine learning model inference costs by up to 80% while maintaining output quality comparable to premium services like Fable. The approach combines qua…
A developer implemented Redis-based rate limiting to protect an Express API from spam and high AI costs. The solution uses a centralized Redis store to track request counts across multiple server inst…
A developer argues that AI-assisted coding tools like GitHub Copilot and Cursor are eroding developer agency by encouraging cognitive offloading and the illusion of competence. The article warns that …
A developer built OTI, an open-source one-time secret sharing app using AdonisJS 6, TypeScript, MySQL, Redis, Edge, and Vite. The app encrypts messages in the browser, stores only encrypted data on th…
A developer argues that large language models trained on GitHub's final code are imitators, not real engineers, because they lack the thought process behind code evolution. The developer proposes trai…
A developer details how the Model Context Protocol (MCP) can connect AI agents to enterprise databases such as PostgreSQL, Redis, and Neo4j, applying microservice principles to decouple agents from da…
Arcade AI, a San Francisco-based startup building an MCP runtime for AI agents, is hiring an AI Engineer for its Tools team, with the role based on-site in San Francisco. The company, backed by a Seri…
Developer Siddhartha Katiyar built ContextOS, a local-first context engine that indexes software repositories using Tree-sitter and SQLite FTS5 to improve AI coding assistants' retrieval accuracy. In …
Trycompai/crm, an open-source, agentic-first CRM, has been released to enable autonomous AI collaboration in sales workflows. Built with a microservices architecture using TypeScript, Node.js, and Rea…
Kireo built a low-latency semantic memory layer for coding agents using LanceDB and a CPU-hosted embedding model, enabling on-demand retrieval via MCP tools. The system combines vector and keyword sea…
A developer shares six techniques for getting better results from Claude, including writing specific prompts, using XML tags for context, asking for a plan before code, providing examples, splitting t…