AI systems now act as salesforces for brands, making purchasing decisions based on confidence signals from search, knowledge graphs, and third-party proof. SEO must evolve into assistive agent optimiz…
A developer experienced 92 production outages due to CORS preflight failures in an MCP server. The root cause was that the authentication filter ran before the CORS filter, causing OPTIONS preflight r…
A developer discovered that random disconnections in their MCP server were caused by idle timeouts on SSE connections, with proxies dropping connections after 30-100 seconds of inactivity. The fix inv…
A developer who built 10+ MCP servers and experienced 85 production outages found that poor tool discovery causes more failures than bad code. The engineer built a fuzzy discovery layer in Java Spring…
A developer building the NENE2 PHP framework argues that Model Context Protocol (MCP) tools should call application boundaries, not production databases directly. The framework enforces this by mappin…
Two AI agent security startups, Arcade.dev and Convey, raised a combined $98 million in 72 hours, signaling a market gap as 80.9% of technical teams have AI agents in production but only 14.4% have fu…
Appaloft launches a local-first, AI-native PaaS that lets developers deploy to their own servers from CLI, GitHub Actions, or AI agents using a single configuration file. The platform supports static …
Upwind Security launched AI Sensor for Endpoints, extending its cloud and AI security platform to developer workstations to provide visibility into AI-related activity across endpoints, cloud, and Saa…
A developer built seven MCP servers to solve coordination failures in East Africa, addressing information asymmetry in payments, insurance, credit, commodity prices, reputation, labor, and drought dat…
The tech industry is falling into a 'tool trap' by over-optimizing for specific agent protocols like MCP and AI Skills instead of developing a broader Agent Experience (AX) discipline. AX, the agent-f…
Flama, a Python web framework, now offers native support for building Model Context Protocol (MCP) servers, enabling AI agents to call functions, read data, and use prompt templates through simple dec…
Equixly released its June 2026 product update, introducing AI Red Teaming for testing large language models, an Attack Surface Graph for visualizing exposure, Discovery upgrades including scheduled sc…
A developer built a knowledge base in 2019 and spent seven years iterating on it, only to find that adding the Model Context Protocol (MCP) simplified the system dramatically. By replacing complex emb…
Cursor and Anthropic have introduced middle-tier safety modes for AI coding agents, replacing the binary choice between constant approval prompts and unrestricted execution. Cursor's Auto-review, ship…
AI-powered systems in production face critical security vulnerabilities, including prompt injection and tool-based exploits, as demonstrated by real-world incidents in 2025 such as a Supabase agent da…
A developer who built over 10 MCP servers over three months discovered that production MCP servers require different logging than regular REST APIs after spending 8 hours debugging random failures. Th…
A developer who spent years building complex RAG systems found that adding Model Context Protocol (MCP) support to their knowledge base project Papers made traditional RAG obsolete. By replacing 2,000…
LightShield, a SIEM built by LS-SIEM LLP, developed qa-probe, an open-source tool that stops AI coding assistants from hallucinating bug fixes by providing ground-truth evidence. The tool analyzes sou…
Visual Build launched Automation Skill Builder (ASB), a tool that records desktop workflows and packages them into AI-callable skills via the Model Context Protocol. The platform runs fully offline, d…
A developer who built five MCP servers shares seven hard-learned lessons for production deployments. Key mistakes include returning empty arrays that cause clients to hang, manually constructing JSON …