← Voltar às Notícias

Tags: AI coding agents

GitHub Apresenta Claude e Codex, Agentes de Codificação de IA em Visualização Pública

GitHub Apresenta Claude e Codex, Agentes de Codificação de IA em Visualização Pública
GitHub has launched a public preview that brings Anthropic's Claude and OpenAI's Codex AI coding agents directly into GitHub, GitHub Mobile, and Visual Studio Code. Available to users with Copilot Pro Plus or Copilot Enterprise subscriptions, the new agents join GitHub's Agent HQ vision, allowing developers to select from Copilot, Claude, Codex, or custom agents for tasks such as issue handling and pull‑request assistance. The integration aims to reduce context switching, let developers compare agent performance, and expand the range of AI models available within the platform. Microsoft is also testing Claude Code alongside Copilot. Ler mais

Agentes de Codificação de IA São Como Impressoras 3D, Mas a Produção Ainda Exige Habilidades Humanas

Agentes de Codificação de IA São Como Impressoras 3D, Mas a Produção Ainda Exige Habilidades Humanas
A developer who has experimented with Claude Code, Claude Opus 4.5, and OpenAI Codex describes how AI coding agents provide a rapid, 3D‑printer‑like experience for prototyping software. While these tools can spit out flashy prototypes and even simple games, the author notes that creating durable, production‑ready code still requires seasoned programming experience, patience, and skill beyond what the agents can deliver on their own. Ler mais

Como Agentes de Codificação de IA Gerenciam Contexto e Otimizam Uso de Tokens

Como Agentes de Codificação de IA Gerenciam Contexto e Otimizam Uso de Tokens
AI coding agents face limits on the amount of code they can process at once, which can quickly consume token or usage limits when large files are fed directly into a language model. To work around these constraints, developers fine‑tune models to generate auxiliary scripts that extract needed data, allowing the agents to operate on smaller, targeted inputs. Techniques such as dynamic context management and context compression let agents summarize past interactions, preserving essential details while discarding redundant information. These approaches enable semi‑autonomous tools like Claude Code and OpenAI Codex to handle complex codebases more efficiently without overwhelming the underlying model. Ler mais

Agentes de Codificação de IA Recriam o Clássico Minesweeper com Resultados Mistas

Agentes de Codificação de IA Recriam o Clássico Minesweeper com Resultados Mistas
A test of four AI coding agents tasked with rebuilding the classic Minesweeper game revealed a blend of successes and shortcomings. While the agents successfully implemented core gameplay mechanics such as chording and flagging, they varied in UI polish, sound options, and development speed. OpenAI's Codex, for instance, took roughly twice as long to produce a functional version compared to Claude Code. The evaluation highlights both the promise of AI-driven development and the current limits that developers must still address. Ler mais

GitHub Lança Agent HQ para Trazer Múltiplos Agentes de Codificação de IA para Desenvolvedores

GitHub Lança Agent HQ para Trazer Múltiplos Agentes de Codificação de IA para Desenvolvedores
GitHub is rolling out a new platform called Agent HQ that lets developers use a range of AI coding agents—including OpenAI’s Codex, Anthropic’s Claude, Google’s Jules, xAI, and Cognition’s Devin—directly within GitHub. Available to Copilot subscribers, the service adds a mission‑control style dashboard, the ability to run several agents in parallel on the same task, and new VS Code tools such as Plan Mode and a code‑review step powered by CodeQL. The move expands the ecosystem of AI‑assisted development while giving users more control over which agent’s output they prefer. Ler mais