OpenAI has built a feedback system that aggregates explicit and implicit user signals into a shared data layer, enabling teams to measure failures across channels and close an AI improvement loop. Stu…
Network engineers can now teach AI agents their specific workflows using agent skills, a new capability that lets users define repeatable tasks in a SKILL.md file without writing code. The skills, whi…
NEAT Technologies released NEAT, an open-source tool that fuses static code analysis and OpenTelemetry runtime telemetry into a single live graph to reduce AI agent hallucinations and improve debuggin…
Sfora, a new project management platform built entirely around markdown files, launched to let human developers and AI agents collaborate in a single workspace via CLI and MCP. Every task, post, and d…
A new open-source tool called Glass gives AI coding agents a closed build-see-interact-debug loop over native GUI applications, enabling them to launch, drive, and verify apps without per-step screens…
A developer built Vellum, an open-source MCP server that gives AI agents memory as a folder of markdown files the user owns. The project avoids databases and embeddings, using a plain directory of .md…
Daria Dovzhikova benchmarked an AI agent on 52 broken Kubernetes clusters, comparing the performance of kubectl against a Kubernetes MCP server. The results showed that the MCP server significantly ou…
RubenGlez released Lokalite, a local-first secrets manager for macOS that encrypts API keys, tokens, and credentials in an AES-256-GCM vault stored in Apple Keychain, delivering secrets to AI coding a…
A developer built OtterKit, a tunnel and webhook toolbox that turns the mechanical debugging loop for webhooks into automatable commands. The tool generates correctly-signed synthetic events locally, …
Neo4j has released Laravel Boost, an open-source package that integrates the official Neo4j MCP server into Laravel Boost, giving AI coding assistants live access to a Neo4j graph database and applica…
A developer argues that true AI-native products expose domain operations as typed, callable tools via the Model Context Protocol (MCP), not as chat widgets. The post demonstrates registering a 'create…
A developer connected Claude to email infrastructure using the Model Context Protocol (MCP), enabling the AI agent to check domain status, send emails, and read delivery events directly from chat. The…
A developer introduced Tap, a tool that compiles browser automation flows into deterministic plans that replay at zero LLM tokens, complementing Claude for Chrome's interactive reasoning. Tap and Clau…
AWS released Loom, an open-source reference platform for building, deploying, and governing AI agents at enterprise scale, available on AWS Labs. The platform addresses seven key challenges including …
Software engineer Manish Shahi built an MCP server in PHP for travel agency Fayyaz Travels, a client of Inncelerator, enabling an AI agent to pull live website analytics (traffic, leads) from the comp…
A developer building a support bot with LangGraph and MCP found that the bot confidently provided incorrect information because it lacked a mechanism to pause and ask for human guidance. The developer…
A developer built an MCP wrapper to expose Eclipse JDT Language Server to Claude Code, enabling AST-aware Java refactoring. The bridge gives the AI agent direct access to Java compiler APIs for precis…
An engineer details the architecture of production-ready Agentic AI systems, explaining that autonomous agents require a brain (LLM), tools, memory, and a goal to function reliably. The post covers th…
Microsoft Foundry's new Foundry IQ agentic retrieval layer, built on Azure AI Search, treats retrieval as a reasoning task rather than a single keyword or vector lookup. A developer built a production…
A developer compared two commit-message generators in the same repo: a 20-line script run by hand and an MCP tool callable by agents. Both call the identical prompt against the same model through the …