Arcee AI, a 30‑person startup, unveiled Trinity, a 400‑billion‑parameter open‑source foundation model released under the Apache license. The company says Trinity rivals Meta’s Llama 4 Maverick and China’s GLM‑4.5 in benchmark tests, especially for coding, math, common‑sense reasoning, and knowledge tasks. While currently limited to text, the startup plans to add vision and speech‑to‑text capabilities. Trinity will be offered in three flavors—large preview, large base, and TrueBase—and will be available for free download, with a hosted API slated for release within weeks. The model was trained in six months using 2,048 Nvidia Blackwell GPUs at a cost of $20 million, funded by the $50 million the company has raised to date. Leia mais →

OpenAI launched Prism, a free AI‑enhanced workspace for anyone with a ChatGPT account. Integrated with GPT‑5.2, Prism functions as a word processor and research assistant, offering LaTeX support, diagram generation, and full‑context chat capabilities. The tool is designed to help human scientists draft papers, verify claims, and explore hypotheses, rather than conduct research autonomously. OpenAI positions Prism as a catalyst for faster scientific progress, drawing parallels to AI’s impact on software engineering. Early examples include AI‑assisted proofs in mathematics and statistics, showcasing a collaborative model between researchers and advanced language models. Leia mais →

A recent Dynatrace study reveals that roughly half of organizations' agentic AI initiatives remain in proof‑of‑concept or pilot stages. While companies plan to raise AI budgets, progress is hampered by security, privacy, compliance concerns, difficulty managing agents at scale, and a shortage of skilled staff. Deployment focus is strongest in IT operations, DevOps, software engineering, and customer support, yet the greatest expected returns are in IT operations monitoring, cybersecurity, and data processing. Leaders emphasize human‑machine collaboration and recommend redefining ROI, establishing clear guardrails, and scaling deliberately. Leia mais →

Microsoft is rolling out Anthropic’s Claude Code to a broad set of its internal engineering groups, encouraging both developers and non‑technical staff to experiment with the AI coding assistant. The move complements the company’s existing reliance on GitHub Copilot, with engineers asked to compare the two tools and provide feedback. By integrating Claude Code into major product divisions such as Windows, Microsoft 365, and Azure‑related services, Microsoft aims to boost productivity, simplify prototyping, and explore the potential of offering the tool to external cloud customers in the future. Leia mais →

A new series featuring tech leaders argues that artificial intelligence is not a threat to software developers but a catalyst for their evolution. While no‑code and “vibe coding” tools can speed up simple projects, complex products still require human expertise in architecture, security, and user experience. Developers who learn to collaborate with AI will become more efficient and valuable, using the technology to handle repetitive tasks and focus on higher‑level problems. The piece emphasizes that AI is a tool, not a replacement, and that the most successful developers will be those who become AI‑savvy. Leia mais →

Ryan Salva, the manager for Google’s developer tools, explains how AI-powered solutions like Gemini CLI and Gemini Code Assist are reshaping software development. He highlights findings from Google’s latest developer survey, noting a surge in AI tool adoption around the release of new reasoning models. Salva describes his own workflow, which blends terminal‑based AI commands with traditional IDEs, and emphasizes the shift toward using AI for requirements drafting and code generation. While he sees the IDE’s role diminishing over time, he envisions developers evolving into architects who guide AI rather than write every line of code themselves. Leia mais →

AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Leia mais →

A leading AI lab founder argues that artificial‑intelligence tools are not a threat to software developers but a catalyst for a new, more productive way of working. While no‑code and “vibe‑coding” platforms can accelerate early prototypes, they hit limits when products become complex, secure, or scalable. Developers who learn to collaborate with AI become faster, more valuable, and better equipped to catch the errors and design flaws that automated tools miss. The future will reward those who understand both the power and the boundaries of AI‑assisted coding. Leia mais →

AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Leia mais →

AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Leia mais →

A leading AI lab founder argues that artificial‑intelligence tools are not a threat to software developers but a catalyst for a new, more productive way of working. While no‑code and “vibe‑coding” platforms can accelerate early prototypes, they hit limits when products become complex, secure, or scalable. Developers who learn to collaborate with AI become faster, more valuable, and better equipped to catch the errors and design flaws that automated tools miss. The future will reward those who understand both the power and the boundaries of AI‑assisted coding. Leia mais →

A leading AI lab founder argues that artificial‑intelligence tools are not a threat to software developers but a catalyst for a new, more productive way of working. While no‑code and “vibe‑coding” platforms can accelerate early prototypes, they hit limits when products become complex, secure, or scalable. Developers who learn to collaborate with AI become faster, more valuable, and better equipped to catch the errors and design flaws that automated tools miss. The future will reward those who understand both the power and the boundaries of AI‑assisted coding. Leia mais →

A leading AI lab founder argues that artificial‑intelligence tools are not a threat to software developers but a catalyst for a new, more productive way of working. While no‑code and “vibe‑coding” platforms can accelerate early prototypes, they hit limits when products become complex, secure, or scalable. Developers who learn to collaborate with AI become faster, more valuable, and better equipped to catch the errors and design flaws that automated tools miss. The future will reward those who understand both the power and the boundaries of AI‑assisted coding. Leia mais →

A leading AI lab founder argues that artificial‑intelligence tools are not a threat to software developers but a catalyst for a new, more productive way of working. While no‑code and “vibe‑coding” platforms can accelerate early prototypes, they hit limits when products become complex, secure, or scalable. Developers who learn to collaborate with AI become faster, more valuable, and better equipped to catch the errors and design flaws that automated tools miss. The future will reward those who understand both the power and the boundaries of AI‑assisted coding. Leia mais →

AI tools are reshaping how developers write and understand code, offering speed and convenience while also raising questions about quality, security, and skill erosion. The technology works best when used for focused tasks, acting as an editorial partner rather than a full‑scale replacement. Experts warn that reliance on AI can diminish deep programming knowledge, yet the same tools can accelerate learning and improve security when combined with human oversight. The evolving balance between automation and craftsmanship defines the current debate on AI’s role in software engineering. Leia mais →

A recent survey of 800 developers reveals that more than half believe AI can code better than most humans, and a large share use AI tools daily or several times a week. While 42% express a positive outlook, concerns over data privacy, job displacement, and code accuracy remain prominent. Most respondents anticipate AI skills becoming a job requirement soon, and many view AI as an enabler despite uncertainty about the future of junior developers and the potential for skill erosion. Leia mais →

Google announced that its AI‑powered coding assistant Jules has moved out of beta and is now generally available. Built on Gemini 2.5 Pro, Jules operates as an asynchronous, agent‑based tool that integrates with GitHub, clones repositories to Google Cloud virtual machines, and lets developers offload coding tasks while they focus on higher‑level work. The rollout introduces tiered pricing, a free introductory plan, and clearer privacy language. Google cites strong stability improvements, extensive user feedback, and millions of visits during the beta as reasons for the broader launch. Leia mais →

In a groundbreaking leap for artificial intelligence, meet Devin, the world’s first fully autonomous AI software engineer. Developed by Cognition, a leading applied AI lab, Devin is not just a tool but a tireless and skilled teammate, capable of working independently or collaboratively with human engineers. Devin represents a significant advancement in AI technology, equipped … Read more Leia mais →