History of the Model Context Protocol (MCP)
Anthropic engineers David Soria Parra, Justin Spahr-Summers, and Mahesh Murag created the Model Context Protocol (MCP), an open standard introduced in 2024 to connect AI assistants to external data sy…
Anthropic engineers David Soria Parra, Justin Spahr-Summers, and Mahesh Murag created the Model Context Protocol (MCP), an open standard introduced in 2024 to connect AI assistants to external data sy…
Yaseen Khatib, a senior full-stack AI engineer, built a serialization adapter for IntegrateX, a node-based workflow automation canvas, that separates the UI model from the domain model and reduces per…
Yaseen Khatib, a senior full-stack AI engineer, built Sable, a local-first personal finance agent that stores all data on-device in SQLite and uses OpenAI function calling only to generate proposals r…
A developer has published a Node.js blueprint for defending AI agents against supply chain attacks, drawing on the RubyGems incident in which the malicious `strong_password` package used pre-install s…
A comparison of three Thai text-to-speech systems finds that ThonburianTTS, built by a Thai research team on the F5-TTS architecture with flow matching, delivers the most accurate Thai pronunciation a…
A developer writing as Nokka has published a guide detailing five Ollama settings that should be tuned before running local models in sustained heavy use, arguing that slow responses usually stem from…
A developer built Attestly, a tool that reads operational traces from AI agents — including OpenTelemetry, LangSmith, AgentOps, and MCP logs — and maps them into structured technical documentation and…
A developer launched h3max.info, a reference site and scenario-based Studio for fal.ai's H3 Max video model, aiming to clear up persistent confusion between MiniMax H3, H3 Max, and H3 Max Turbo. The s…
An independent developer has open-sourced Beatriz Epistemic Gate, a lightweight defensive proxy that detects data poisoning during LLM fine-tuning by verifying generated text against an immutable anch…
Three Thai open-weight LLM projects — SCB 10X's Typhoon, the Thai AI Entrepreneur Association's OpenThai, and VISTEC's Pathumma — offer locally runnable, commercially usable alternatives to foreign mo…
An open-source VS Code extension called Antigravity Usage Intelligence gives developers visibility into token consumption, cache savings, and subscription quotas when using Google's Antigravity agenti…
A developer built Antigravity Usage Intelligence, an open-source usage tracker and analytics dashboard for Google's Antigravity agentic development environment. The tool breaks down token consumption …
Security researchers at Check Point discovered a flaw in ChatGPT's code execution environment that allowed an attacker to use shared package-submission metadata as a hidden channel between supposedly …
A developer running nine parallel Claude Code sessions rebuilt agent memory recall as server-side plumbing rather than a prompt instruction, injecting semantically retrieved project notes into each se…
A developer reports that more than 50% of traffic to their Mintlify-hosted API documentation now comes from AI agents, prompting a shift in how OpenAPI specifications are written. The engineer argues …
A developer detailed a production-grade autonomous clinical concierge agent deployed for a Tier-1 enterprise hospital network, replacing naive probabilistic prompt chains with deterministic finite sta…
A developer outlined a method for configuring DeepSeek as the default model in OpenAI's Codex coding agent by editing the local config.toml and models.json files and setting a DEEPSEEK_API_KEY environ…
An analysis of 700 public projects and 1,318 builders on the indie hacking platform Forg found that AI-related tags account for 8.5% of all project tags, with AI project tags growing 460% over the las…
A historical survey traces the first physical and computational reinforcement learning machines built between 1948 and 1954, beginning with Norbert Wiener's 1948 Cybernetics and its negative-feedback …
A developer is asking why microcontrollers such as Arduino, ESP8266, and ESP32 remain necessary when computers and smartphones grow more powerful each year, noting that most embedded and IoT applicati…