A developer argues that most AI projects fail to reach production not because of model quality but due to a lack of robust software engineering. Production systems require reliability, data validation…
A developer built an AI-powered application in 30 minutes using tools like Cursor and Claude Code, but found that the code required significant rewriting days later due to skipped software engineering…
A developer built Lenzon.ai, an open-source tool that uses AI agents to analyze complex code and generate visual and audio explainers for pull requests. The tool aims to accelerate human understanding…
A developer created leak_probe.py, an 80-line Python tool that checks which secrets actually ship in an npm package versus those found in the git repository. Testing showed 6 secret hits in the repo b…
A developer built promptctl, an open-source CLI tool that brings Git-like version control to AI prompt management. The tool allows users to commit, diff, rollback, search, and watch prompts from the t…
A developer built FlowIndex, a local CLI and MCP server that scans a repository to build a behavior graph in SQLite, capturing entrypoints, imports, tests, and git co-change data without embeddings or…
A developer building ANIMUS, an autonomous Rust system for persistent LLM memory, discovered that 52% of its knowledge graph nodes were duplicates. An audit revealed an overly aggressive filter trappe…
A developer wired up MCP tools for a multi-tenant Laravel app, implementing explicit organization-scoped filtering and authorization to prevent data leaks when AI agents access the system. The solutio…
A developer built MCP tools for an AI agent to drive an events platform, enforcing organization-scoped access and reusing existing permission strings to prevent privilege escalation. They also made LD…
An engineer synthesized over 60 publicly-reported first-hand accounts to compare the software-engineering interview loops at Anthropic and OpenAI. The analysis reveals that both companies have similar…
A developer spent a week testing an AI agent's ability to handle security workflows, finding that connecting the Aikido Security MCP via Vinkually enabled multi-step investigative queries that previou…
PowWater, a startup building an operating system for water delivery, is expanding to Mexico City after processing billions of liters in Kenya. The company uses a Python/FastAPI/PostgreSQL stack and in…
A developer explains that entity resolution is a harder problem than named entity recognition (NER) in enterprise systems. While NER extracts entity labels from text, entity resolution maps those labe…
A developer argues that backend engineers must shift from simply calling AI APIs to designing production-ready AI systems. The post outlines a structured approach with input, orchestration, and output…
A developer built a financial Named Entity Recognition (NER) pipeline for enterprise AI, focusing on operational entities like COMPANY, INVOICE, and PAYMENT_TYPE instead of traditional linguistic enti…
A developer outlines a method for generating synthetic enterprise datasets that preserve real business relationships, addressing the challenge of obtaining operational data for AI systems. The approac…
A developer identifies three common reasons AI loops fail, none of which are the AI's fault: the input gap (failing to provide new inputs), the perfection death spiral (over-optimizing prompts before …
A developer argues that as teams skip Figma and build UIs directly from prompts, they lose the built-in feedback loop that Figma comments provided. The canvas was where conversations happened, and wit…
A developer at a voice agent company traced a 1.4-second dead-air incident on a customer call, discovering that the latency was invisible in standard APM traces. The gap occurred between turn-detectio…
A developer argues that building custom API wrappers for ML models is a waste of time, advocating instead for using the Model Context Protocol (MCP) to connect AI agents directly to deployed models. T…