A developer shares practical habits for saving tokens in Claude Code during test automation sessions, including scoping tasks tightly, using /clear and /compact commands, preferring headless mode, and…
A developer discovered a bug in n8n's AI Agent node where batch processing causes one item's conversation history to leak into another's, leading to silent data corruption. The root cause was traced t…
GAUNTLEX, an open-source tool by developer Sanjoy, gates HIPAA, FINRA, and other compliance requirements directly in CI pipelines. It ships curated attack scenarios for each domain and produces findin…
A developer reflects on the familiarity gap when introducing AI agents and MCP servers to newcomers, noting that experienced builders often forget the initial learning curve. The developer recommends …
A developer building a daily content pipeline found that when Claude hit its weekly limit, the pipeline failed to produce a post for 2026-07-14. The developer redesigned the system to fall back to Gro…
A developer created Reptclip, a Python app that copies a codebase's project structure and selected file contents to the clipboard for easy pasting into chatbots. The tool supports include/exclude patt…
A developer built Lexi-9-Omega, an AI engineering assistant that translates a sci-fi-inspired interface into practical software. The system operates in two layers—a narrative layer for identity and a …
A developer details a 2026 setup for running coding models like Qwen Coder and DeepSeek locally on a 16GB laptop, using Ollama and Continue.dev to replace paid services like GitHub Copilot. The setup …
A developer built AquaStat, an API-first platform for collecting and analyzing data center water usage data. The project aims to organize scattered information from sustainability reports, government …
Bonnard has developed a set of techniques for building agent-friendly Model Context Protocol (MCP) tools, exemplified by its MCP Charts product. The approach includes discovery-first tool design, a sm…
A developer argues that B2B SaaS teams should avoid embedding BI tools or building custom charts from scratch for customer-facing analytics, citing multi-tenancy, branding, and maintenance costs. Inst…
A developer proposes connecting AI agents to data warehouses via a semantic layer and the Model Context Protocol (MCP) instead of direct text-to-SQL, arguing that the latter leads to hallucinated join…
A developer proposes an analytics API backed by a semantic layer as a unified query interface for metrics, replacing custom endpoints that lead to metric drift and combinatorial explosion. The post in…
AI reporting tools risk eroding trust by generating queries from scratch each time, leading to inconsistent metric definitions. A developer proposes separating AI's role—generating summaries and visua…
A developer argues that AI data analysis tools like Julius AI, ChatGPT Data Analyst, and Databricks AI/BI fail at scale because they lack governed metrics, leading to inconsistent results. The solutio…
A developer ran a side project called Startups Españolas that auto-published 2,300 AI-generated articles over 16 months. Google Search Console data shows clicks dropped 90% from a peak of 695 in Septe…
An agentic semantic layer is a metadata layer between AI agents and data warehouses that defines business metrics, enforces access control, and exposes governed query interfaces. Unlike traditional se…
A developer argues that AI agents need a semantic layer to produce consistent, governed data access. Without it, agents generate conflicting SQL queries, risk data leaks, and lack auditability. The so…
Bonnard released @bonnard/mcp-charts, an open-source npm package that lets MCP servers return interactive charts directly in AI clients like Claude and ChatGPT. The tool replaces the common pattern of…
Costory rebuilt its FinOps MCP server after discovering that LLMs like Claude ignored dedicated tools like query_cost_diff in favor of calling query_cost twice and doing subtraction themselves. The te…