A developer argues that serverless architecture is a natural fit for AI coding agents, because it makes infrastructure explicit and inspectable, giving agents the context they need to write correct co…
Parvej Shah, a lead full-stack web developer and platform architect, argues that browser agents often fail in production not because of AI model limitations but because modern single-page applications…
An engineer cut a client's AI API bill from Rs 85,000 to Rs 12,400 per month by implementing model routing, prompt caching, batching, and output length optimization. The changes reduced costs by 85% w…
A developer has built Cencurity Engine, an open-source local proxy that sits between coding agents and LLM providers to inspect response streams and enforce allow, redact, or block policies. The gatew…
Telnyx has released a new open-source example, 'shipment-agent,' that turns a package shipment into a durable AI agent capable of proactive SMS updates, understanding customer replies via Telnyx AI In…
The moeinGTS team, led by Ali and Arshiya Sohrevardi, has released an open-source family of AI models designed for local deployment, including lightweight LLMs (1.5b and 3b), a flagship model (GTS-1),…
A developer's blog post argues that the AI developer stack has shifted from model capabilities to production engineering, emphasizing RAG verification checklists, agent observability, and lightweight …
A developer building Cencurity, a local gateway that inspects LLM-generated code, discovered that security scanners fail on streaming output because patterns can be split across chunks. The fix involv…
Google is connecting its AI content creation, application development, and agent deployment tools with recent updates to Flow, Google AI Studio, and Gemini Enterprise. Flow now offers scene extension …
A developer has spent six months running a one-person film studio using Anthropic's Claude Code, producing a 10-episode series. The setup relies on a CLAUDE.md file that defines Claude's role as a cre…
A developer's guide emphasizes verifying technical facts before building a RAG application with Next.js, Qdrant, and OpenAI, warning against treating unverified configurations as production facts. The…
Developer Eduardo Lázaro released Laragents, an open-source package for Laravel that simplifies building AI agents with tool-calling capabilities. The package introduces an iteration cap and an empty-…
A computer science student built the AI Civic Issue Mapper, a platform for reporting and tracking civic problems like garbage dumping and potholes. The project integrates frontend, Flask routes, datab…
A developer known as C Dragon reported completing a SHA-256 crypto accelerator chip using two AI agents and roughly 1 billion tokens, passing all 10 signoff checks on an open-source EDA stack. The pro…
Celmis, a self-hosted code intelligence tool, builds a deterministic symbol graph of repositories using tree-sitter, enabling cross-repository queries and code review without model involvement. The to…
A developer demonstrates how to build a multi-agent AI system in Flutter, using a Planning Agent, Generation Agent, and Validation Agent to handle complex tasks. The approach leverages Gemini API with…
A developer proposed organizing projects with clear boundaries between exposed code and hidden secrets to prevent AI agents from leaking sensitive data. The approach separates .env files into dedicate…
Carlos Cortez released Tinkuy 0.1.0, a minimalist agent framework written in 467 lines that provides a provider-agnostic loop for LLM tool calls. The framework, published on npm as @carloscortezcloud/…
A critical vulnerability in vLLM's tool-call parser, CVE-2025-9141, allows model-generated arguments to be passed directly to eval(), enabling arbitrary code execution. The flaw highlights a broader p…
A developer's blog post explains the differences between IAM Roles for Service Accounts (IRSA) and EKS Pod Identity in Kubernetes, detailing how each mechanism extends a pod's ServiceAccount identity …