AI Engineers Are Becoming Security Engineers.
AI coding assistants are transforming software development by generating code at unprecedented speed, but this acceleration is creating a security imbalance. Engineers are inadvertently becoming secur…
AI coding assistants are transforming software development by generating code at unprecedented speed, but this acceleration is creating a security imbalance. Engineers are inadvertently becoming secur…
A developer built two AI tools—TeachSim and GitHub Digest—and realized the second tool revealed how they should be learning AI. The developer found that hands-on projects with real stakes led to deepe…
A developer is building software to track EA FC Tournaments using AI tools extensively, aiming to create a personalized solution despite existing apps. The project prioritizes efficiency and learning …
A developer conducted an experiment asking AI to build an entire backend application, then audited it for security. The audit revealed that while the code worked correctly, it contained dozens of smal…
A developer argues that enterprise AI agents often fail not because of model limitations but because they lack a shared business vocabulary. The engineer explains that building a taxonomy—a structured…
A developer built an AI-powered transaction intelligence system for enterprise reconciliation, handling nearly two trillion in annual incoming transfers. The system uses a pipeline including business …
A developer argues that the software industry is measuring engineers with outdated metrics like lines of code or number of commits, while AI tools have made code generation cheap. The real value now l…
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…