Momentic, an AI-driven software testing platform, migrated its caching system from PostgreSQL to ClickHouse to handle over 2 million queries per day across 20 billion entries with 250 ms average laten…
10xHire is hiring software engineers to build AI-native technical assessments that measure real engineering judgment. The company seeks backend engineers with 1+ years of experience to work on scalabl…
Speculative decoding accelerates local LLM inference by pairing a small draft model that proposes multiple tokens with a large target model that verifies them in parallel, achieving speedups without a…
AI programming agents like Claude Code, Cursor, and Windsurf run on an AgentLoop analogous to a CPU's fetch-decode-execute cycle, but running them locally on laptops causes severe compute bottlenecks …
SurrealDB, a four-year-old UK startup, has built a multi-model database with its own TAPIR-based storage engine to serve as a high-speed context layer for AI agents. The company, founded by brothers T…
Abuja-based developer Okhai has released Foundation, an open-source full-stack application substrate designed for teams building high-performance, event-driven systems with AI coding agents. The proje…
Ovasabi Foundation, a full-stack application substrate for high-performance event-driven systems, has been released as an open-source toolkit. It offers tenant-isolated architecture, seven performance…
A developer built a Go library for semantic LLM caching that combines deterministic hashing with vector similarity search to reduce costs from repeated but differently worded queries. The library supp…
A developer built Velocity, an AI platform that converts plain-English descriptions into production-grade n8n workflow JSON. The system uses a Next.js 16 frontend with Gemini API and Supabase backend,…
A Nylas engineer built an email agent that handles community abuse reports by giving the queue its own identity via a Nylas Agent Account. The agent deduplicates reports, isolates the queue from human…
The Model Context Protocol's 2026-07-28 release candidate eliminates session-based architecture, removing the Mcp-Session-Id, initialize handshake, and sticky routing requirements. The change forces M…
A developer identified two necessary conditions for FalkorDB's db.idx.vector.queryNodes to work properly: data must be stored as a vector type using vecf32() and a vector index must be created. Common…
A developer designed a scalable audio transcription pipeline using Faster-Whisper, a highly optimized implementation of OpenAI's Whisper model. The pipeline focuses on high-throughput GPU inference, b…
A developer built CacheSnap, a performance monitoring SaaS that probes URLs from 8 AWS Lambda regions and uses a 9-rule deterministic diagnosis engine instead of an LLM to identify CDN caching issues.…
HTTP streaming (SSE) lacks built-in session recovery, causing AI chat streams to break on page refresh, network drop, or device change. The Vercel AI SDK's Redis-backed replay handles page-reload resu…
A developer built Ravn, an open-source Python error monitoring tool, after finding Sentry's pricing too expensive for a side project. Ravn captures exceptions with two lines of code, groups similar er…
A developer outlines the five pillars required to build production-grade AI agents: reliability, security, scalability, observability, and governance. The guide emphasizes that production-grade system…
Custodian Labs has launched a Python SDK that enables developers to deploy AI agents in five lines of code, handling infrastructure, hosting, and chat UI automatically. The tool supports adding data s…
Khazad, a transparent semantic cache for LLM API calls built on Redis Vector Sets, reduces API calls by ~50% and latency by ~96% by intercepting HTTP traffic at the transport layer without code change…
A developer reflects on the trade-offs of using AI code assistants, noting a 15-20% speed increase in daily workflow but expressing concerns about dependency and code quality. The developer observed t…