Senior staff software engineer T. Powers built Cadence, an open-source AI coding tool that enforces disciplined agent workflows without the high token costs of existing solutions like GSD. The tool us…
A developer built a cautious first-generation developer agent using the OpenAI Agents SDK that reads GitHub issues, inspects codebases, creates implementation plans, suggests tests, and generates pull…
Software engineer Denyse has built QA Helper, a Chrome extension that uses AI to generate test cases from requirements documents and automatically fills web forms to produce pass/fail reports. The too…
A developer created pluckmd, a CLI tool that extracts blog articles into markdown without per-site configuration, to enable AI agents to read and index web content. The tool automatically handles Java…
A developer has published a method to run Claude Code for free by pointing the agentic coding tool at local models or free cloud endpoints instead of paid subscriptions. The approach uses shell script…
A developer has launched a blog on dev.to to document their journey toward becoming an AI researcher, starting with daily posts about their experiments and thought processes. The first series of posts…
24ad.info has deployed an AI-powered classifieds stack that processes photo uploads, generates listing details, and posts ads in seconds. The system uses OpenRouter and Gemini 2.5 Flash for vision pro…
As engineering organizations adopt agentic workflows at scale, communication has emerged as the most critical skill for developers, surpassing technical memorization and framework expertise. A develop…
Vishal VeeraReddy demonstrated how TradingAgents, an open-source project with 82,000 stars on GitHub, could reduce large language model costs by up to 70% through the implementation of a gateway layer…
A developer has outlined the data infrastructure requirements for agentic AI systems, arguing that traditional data architectures built for dashboards and batch queries are inadequate for autonomous a…
AI-generated user interfaces are converging on a generic, template-like aesthetic that users instinctively dislike, according to a developer's analysis. While tools like Lovable, v0, and Bolt can prod…
Companies are shifting software engineering interviews away from testing knowledge recall and implementation skills toward evaluating judgment, problem understanding, and the ability to critique AI-ge…
A security researcher demonstrated that a GitHub PR title, issue body, or comment can serve as a prompt injection to hijack Claude Code, Gemini CLI, and GitHub Copilot running in GitHub Actions, causi…
A developer compared Cursor and GitHub Copilot for C#/.NET development in 2026, finding that the decision hinges on agentic edits rather than autocomplete quality. Cursor's multi-file agentic edits an…
A developer completed EffortX, an AI-powered Proof-of-Effort platform that analyzes GitHub commits and pull requests to calculate contribution quality scores and store verifiable proof on-chain. The p…
Abhishek, a Java backend engineer at a major Canadian bank, is building a Spring Boot application with a frontend to explore AI integration. The project will be deployed, modernized, and connected to …
A developer has shared a complete setup guide for running a local AI Retrieval Augmented Generation (RAG) system using free, open-source tools. The configuration uses Ollama to run Google's Gemma4 mod…
A developer demonstrated a complete Retrieval-Augmented Generation (RAG) pipeline using OpenAI embeddings, PostgreSQL with pgvector, and LangChain for document chunking. The implementation stores know…
Lunch Pail Labs has integrated Honeycomb traces into its AI Slack agent Pipa to solve the black-box problem when the bot fails. The agent, which runs in E2B sandboxes using OpenCode, now sends OpenTel…
Developers are adopting hybrid retrieval strategies that combine semantic vector search with lexical keyword matching to overcome the limitations of pure vector search in production-grade RAG systems.…