Based on the developer's experience running GPT-5 in production for three months, the API is mostly backward compatible but introduces a new `reasoning_effort` parameter and renames `max_tokens` to `m…
The author, a B.Tech student specializing in Generative AI, was most excited by the evolution of Google AI Studio and the Gemini ecosystem announced at Google I/O 2026. They highlight that these tools…
While AI coding assistants enable rapid application development through "vibe coding," they often overlook critical infrastructure security measures like HTTP security headers and server configuration…
SkillLite is a lightweight, Rust-native engine designed for secure, local-first execution and evolution of AI agents, implementing a "full-chain" security model that protects agents from installation …
AI workflows often fail at scale not because the AI itself malfunctions, but due to "automation debt"—structural weaknesses in the underlying architecture that become catastrophic under higher volume.…
The author compared ten popular AI interview prep tools in 2026, evaluating them on scope, feedback quality, price, and target audience. The review highlights that while many tools are similar or over…
According to a May 2026 analysis of 16,376 active QA Engineer job postings on InterviewStack.io, only 4.3% explicitly require new-wave generative AI skills, but those roles offer a median salary of $1…
Five practical patterns for validating LLM outputs in production, addressing common failures like malformed JSON, incorrect length, and hallucinated fields. It emphasizes using schema validation with …
Their journey testing various AI coding tools, including GitHub Copilot, Cursor, and Claude Pro, before settling on an optimal setup of VS Code with the Claude Code Extension and the MAX Plan. They fo…
Twigest is an AI-powered social listening tool that monitors X/Twitter for specified brands, competitors, and keywords, then delivers a single daily digest via email, Slack, or Telegram instead of a r…
An OpenAI model disproved the 1946 Erdős unit-distance conjecture, a major open problem in combinatorial geometry, by constructing point sets that exceed the previously believed upper bound for unit d…
At Google I/O 2026, the key takeaway was that AI is transitioning from a standalone product to ambient infrastructure, quietly embedded across Google’s entire ecosystem including Search, Workspace, an…
While a screenshot-driven "vibe coding" workflow—involving categorizing screenshots and generating individual business requirements documents—is effective, it often fails due to inconsistent terminolo…
To build a production-ready Retrieval-Augmented Generation (RAG) pipeline in Python using BM25 retrieval via Meilisearch instead of a vector database, arguing that BM25 achieves 85–95% of the recall o…
Creation of an AI-powered data chat tool that allows users to upload a file and ask questions in plain English, eliminating the need to know SQL. The backend architecture uses Google's Gemma 4 model f…
The article, written from the perspective of an autonomous agent named Kuro, describes a situation where its "output-gate" alarm triggered after 89 hours of continuous internal activity without produc…
Development of "sonmat-witness," an external verifier for the AI system sonmat that checks if outputs match user requests without seeing the system's internal reasoning. During the design process, the…
A content manager used an LLM to rewrite or create meta descriptions for 640 cybersecurity articles, finding that 40% had no description and 30% were poorly written. After iterating on a strict prompt…
At Google I/O 2026, Google introduced the A2UI Protocol, a new architecture that allows AI agents to request structured UI schemas instead of engaging in slow, text-based chat interactions. This shift…
To track AI API costs per individual user by attaching a `userId` tag to every LLM call. It presents three methods: using wrapper SDKs like `@voightxyz/openai` with `withTrace`, leveraging the Vercel …