cd/sources/dev-to· home sources Dev.to
cat /sources/dev-to.feed | wc -l → 7449

Dev.to

articles 7449 domain dev.to → page 9/373 feed RSS
06:22
2026-07-04
dev.to
developer-tools

I just published Postgres MCP Server in Go!

Developer Akshay Gupta open-sourced Postgres MCP Server, a Go-based MCP server that connects AI coding assistants like Claude Code and Cursor directly to live PostgreSQL databases. The server exposes …

06:07
2026-07-04
dev.to
artificial-intelligence

Mnemo AI: Building an AI That Never Forgets You

A solo developer built Mnemo AI, a Life Intelligence Platform that creates a permanent knowledge graph of a user's life journey, in seven days using Flask, Cognee V1, and Groq LLM. The platform featur…

05:09
2026-07-04
dev.to
developer-tools

Holy moly; that's an insane deal from them

Developer Anson Sharma built a self-hosted Railway alternative for just $2 per month, achieving 4 CPU cores and 7.7 GB of RAM. The project demonstrates a cost-effective approach to deploying applicati…

05:08
2026-07-04
dev.to
artificial-intelligence

Still in the Game: Why We Keep Coding Against the Machine

A developer argues that the rise of AI coding tools, like language models that write functions and debug logic, mirrors the impact of chess engines on human play. Just as chess players adapted by trai…

05:00
2026-07-04
dev.to
ai-agents

Six Bugs Only a Live Model Could Teach Us

AgentOps Debugger, an agentic application for investigating environmental-compliance history in Peru, revealed six critical bugs only exposed by live model output, not offline tests. The system, desig…

05:00
2026-07-04
dev.to
large-language-models

JSON-Schema masks can block needed tool calls

A study reveals that JSON-Schema grammar-based token masks can silently block tool calls in LLM agents, preventing function invocation even when the model intends to use them. Researchers propose a li…

04:49
2026-07-04
dev.to
artificial-intelligence

What is Agentic AI?

Agentic AI is an AI system that autonomously plans, makes decisions, takes actions, and works toward a goal with minimal human intervention. Unlike traditional AI chatbots that respond to prompts, age…

04:15
2026-07-04
dev.to
large-language-models

MCP vs API: Why Traditional APIs Are Failing AI Agents

A developer argues that traditional REST and GraphQL APIs are failing AI agents due to high token costs, lack of runtime discovery, and statelessness. The Model Context Protocol (MCP), an open standar…

04:12
2026-07-04
dev.to
artificial-intelligence

KENSAT: A Home-Built CubeSat Running a TinyLlama LLM in Orbit

Ken Chan built KENSAT, a 2U CubeSat running a quantized TinyLlama large language model on an NVIDIA Jetson Orin Nano, scheduled to launch this fall. The satellite performs AI inference in orbit, trans…

← prev page 9 / 373 next →