A developer found that the most-starred LLM trading paper TradingAgents (arXiv:2412.20138) reported a 5.23% loss for AAPL buy-and-hold, but actual dividend-adjusted data shows a 9.12% gain. The develo…
The Production Engineering MLH Fellowship teaches engineers the fundamentals of production systems, emphasizing that AI changes tools but not underlying principles. The program builds foundational kno…
A developer who spent six months running 10+ production apps across Claude Code, Codex, and Cursor reveals that actual AI coding costs far exceed sticker prices. After tracking every dollar, the devel…
A developer building NextStep, an AI resume scorer and rewriter, solved GPT-4o's hallucination and inconsistency problems by computing scores deterministically in Python, using typed diffs for rewrite…
A developer observed a customer's RAG application producing confident but wrong answers, tracing the problem to poor retrieval rather than the LLM. The developer argues that most RAG quality issues st…
A developer who grew up in Rawalpindi draws a parallel between rare books being shredded after digitization and the hidden costs of rapid AI adoption in enterprises. Drawing on experience with DACH en…
A developer built Cellarion, an open-source wine cellar app with an MCP server that exposes 60 tools, enabling AI models like Claude to answer personalized questions such as 'What should I open tonigh…
A developer with over a decade of experience building software by hand and three years using AI to build almost everything reports that AI writes working code on the first try more often than most eng…
A developer details how to build custom Model Context Protocol (MCP) clients in Next.js and serverless environments, addressing the challenge of bridging ephemeral serverless execution with stateful p…
A developer explores lossless compression strategies to maximize information density within LLM context windows for RAG agents, improving performance and reducing costs. Techniques include structured …
A developer built and deployed a Java AI agent using the Google Agent Development Kit (ADK) on Debian 13. The agent, which provides time and weather information, was compiled with Java 25 and deployed…
A developer shares four lessons from building AI, education, and healthcare products with Next.js, including Klyro (generative AI), RoleMint (job-search copilot), BrightLearn (education platform), and…
A developer's guide to bug bounty hunting in 2026 covers how beginners can find vulnerabilities, get paid, and build a reputation legally. It highlights AI and LLM vulnerabilities as a high-value nich…
GitHub's Billing Controls help administrators investigate unexpected AI cost increases by tracing usage to specific organizations and cost centers, then applying guardrails at the appropriate level. A…
Developer Zayd Mulani built 'ghost', a single HTML file that runs a quantized LLM entirely in a browser tab with no backend, GPU, or install. The project uses WebAssembly and the wllama binding for ll…
MCPRadar is an open-source security scanner designed to detect vulnerabilities in Model Context Protocol (MCP) servers, which connect AI agents to external systems. A recent study of nearly 1,900 MCP …
A developer built claude-overnight, an open-source tool that queues questions for Claude Code during the day and runs them overnight when usage limits reset, preventing wasted weekly quota. The tool u…
A new Laravel package, laravel-ai-tasks, introduces budget control for AI API calls by checking costs both before and after each request. The package, built by developer Fomvasss, uses a pre-flight an…
Chron, an MCP server that logs AI coding sessions to a tamper-evident SQLite database, has reached 5,600 installs. The project is evolving from a logging tool to an AI governance layer, adding an Atte…
Anthropic has documented that tool definitions alone can consume tens of thousands of tokens before an agent begins working. A developer warns that exposing generic technical operations like execute_s…