OpenCode, a terminal-only AI coding agent launched in 2025, unexpectedly achieved massive success by 2026 with millions of users, despite lacking IDE integration. The article explains why this terminal-centric approach triumphed over IDE-bound tools, highlighting its architecture.
This article explores how developers can monetize AI technology, discussing various means of generating revenue from AI-powered applications, services, or products. It promises practical steps and code examples to help developers get started.
Use Codex anywhere with the ChatGPT mobile app. Monitor, steer, and approve coding tasks in real time across devices and remote environments.
Braintrust engineers leverage Codex with GPT-5.5 to conduct experiments and accelerate coding processes. This method enables them to more efficiently transform customer requests into functional code.
The updated Codex app for macOS and Windows now includes computer use, in-app browsing, image generation, memory, and plugins. These new features are designed to accelerate developer workflows.
Learn how Symphony, an open-source spec for Codex orchestration, turns issue trackers into always-on agent systems. This boosts engineering output and reduces context switching.
Voice finder is a new tool designed to help developers search, match, filter, and audition over 600 voices across Together AI TTS models. It supports natural-language prompts or uploaded audio samples for selection.
Cat Wu, product lead for Claude Code at Anthropic, shares insights on building reliable AI systems and integrating them into daily work. She highlights that Claude Code now writes 90% of Anthropic's code, profoundly changing engineering practices.
Google announced Gemma 4 and various updates at Google I/O 2026, as featured in their April 2026 Developer News. This release highlights advancements in AI models and tools for the developer community.
LangChain unveiled several new products at Interrupt 2026, featuring autonomous debugging and one-line deploys. These innovations aim to assist teams in efficiently building, testing, and deploying AI agents into production.
The article details how the author stopped performing manual deployments, instead embracing automation with the help of Claude Code and seven other tools. This approach optimized the deployment process and significantly reduced human intervention.
The content compares various AI coding harnesses, including Claude Code, Codex CLI, and Aider, to evaluate their effectiveness in autonomous code generation. It explores which AI coding tool performs best without constant user intervention.
This practical guide explains how to manage AI agent skills using the `npx skills` tool. It provides clear instructions for effectively developing and orchestrating the capabilities of intelligent agents.
This article describes recurring problems with AI coding agents, such as session amnesia, hallucinations, and repeated errors. It presents a solution called 'thumbgate', a feedback-to-enforcement pipeline that learns from mistakes and prevents their recurrence.
O GitHub lançou o Copilot SDK em pré-visualização pública e removeu as restrições do Copilot cloud agent, expandindo suas funcionalidades. Isso democratiza a orquestração de agentes, fornecendo blocos de construção prontos para uso em aplicações, eliminando a necessidade de construir camadas de invocação de ferramentas ou infraestrutura de streaming.
The content describes porting Anthropic's eval-driven AI skill-creator from Python (for Claude Code) to TypeScript (for OpenCode). The goal is to make this proven methodology for skill creation, testing, and optimization freely accessible to users and over 300 models, removing the paywall of a paid subscription.
The author expresses disappointment with Claude Code after 24 hours of use, describing it as focused on "vibe coding" that produces working but sloppy solutions that disregard best practices. They note that Claude Code hardcodes values, disrespects code structure, and even invents API calls, contrasting with a previous positive experience with Opus 4.6 in Copilot.
This article details an extreme writing experiment where the author published 12 articles on Dev.to in just three days, using an AI agent with full autonomy to draft content. The experience reveals the highs and lows of using AI for technical content production, yielding solid results for a new account. The author shares their setup, including AI scouting and writing. The original text is in English.
Um desenvolvedor enfrentava dificuldades para monitorar o uso de tokens e os custos de múltiplos serviços de IA (como Claude, GPT, Cursor), resultando em limites de taxa e contas inesperadas. Para resolver isso, ele criou o TokenBar, um aplicativo para a barra de menus do macOS que exibe o consumo de tokens de IA em tempo real para mais de 20 provedores.
Salesforce has released Agentforce dev tools and updated Agent Fabric, significantly enhancing AI-powered customer service systems. This move aims to provide developers with more control and visibility over AI agents, enabling them to build more sophisticated and effective systems.