OpenAI Launches Computer History Feature on macOS to Give AI Continuous Context

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OpenAI has rolled out a 'Computer History' feature within its macOS desktop client, enabling the AI to continuously observe a user's active workspace, application switches, and environmental metadata rather than relying solely on manually typed prompts. The update marks a significant architectural shift, moving the model from an isolated chatbot to a persistent background observer that understands what users actually do on their computers. The feature is restricted to Pro, Business, and Enterprise subscribers—starting at $100 per month—and is unavailable in the EU, UK, and Switzerland due to GDPR regulations around ambient workplace monitoring. Rather than capturing raw video or audio, the system ingests application-level metadata and workspace state to reduce the manual effort users currently spend summarizing context for AI models. OpenAI says the change addresses a long-standing bottleneck in agentic AI adoption by eliminating the need for users to act as intermediaries between their work environment and the model.

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USPTO Replaced TESS With New Trademark Search Tool in 2023: What Founders Should Know

The US Patent and Trademark Office retired its longtime Trademark Electronic Search System (TESS) on November 30, 2023, replacing it with a new cloud-based tool called Trademark Search, accessible at tmsearch.uspto.gov. The free platform requires no account and offers both a simple search box and an advanced query builder with wildcards and Boolean operators. Founders checking startup names should search exact spellings, close variants, and phonetic equivalents, then filter results by trademark status and the relevant Nice Classification class out of 45 total. A clean federal search result does not guarantee full clearance, as common-law rights from unregistered use, state-level registrations, and related-goods conflicts can still pose legal risks. For complete protection, experts recommend a formal clearance search beyond the USPTO database.

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ProgrammingDEV Community ·

NoWreck v0.13.0 Adds CI/CD Integration With SARIF and JUnit XML Output

NoWreck, a deterministic verifier for AI-generated code-change claims, has released version 0.13.0 with expanded CI/CD pipeline support. The tool works by comparing AI-described code changes against structural evidence from actual repository snapshots, without consulting another AI for validation. Version 0.13.0 introduces SARIF v2.1.0 output compatible with GitHub Code Scanning, SonarQube, and CodeQL, alongside JUnit XML output for Jenkins, GitLab CI, and Azure Pipelines. A new --format flag standardises output selection, replacing the deprecated --json flag, while a new --compare flag enables automated git-based comparisons using commit hashes, branch names, or tags. The release is scheduled for August 2026 and defines 15 SARIF rules covering contradicted claims, unverifiable assertions, and unexplained changes.

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ProgrammingDEV Community ·

Strong Engineering Fundamentals Matter More in the Age of AI, Experts Argue

As AI tools grow capable of generating entire codebases from a single prompt, a debate is emerging about what software engineers truly need to know. While AI can scaffold APIs, write tests, and refactor code within seconds, it cannot resolve the deeper complexity that surfaces when systems fail in production. Engineers who lack grounding in areas such as databases, networking, concurrency, and algorithms risk becoming dependent on AI rather than empowered by it. Fundamentals are described as essential not for writing code, but for reasoning through failures, evaluating AI-generated solutions, and understanding what the code actually does. The argument positions AI as another abstraction layer in a long history of developer tools — one that is only safe to rely on when the engineer understands what lies beneath it.

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ProgrammingDEV Community ·

Indie Dev Seeks Beta Testers for AI Launch Copy Tool That Aims to Sound Human

A developer has built LaunchCraft, a tool that generates platform-specific launch copy — including landing pages, Product Hunt posts, Reddit threads, and X threads — from a single product description. The core challenge the creator wants testers to evaluate is whether the output reads as human-written, since AI-sounding copy tends to be ignored or downvoted on platforms like Reddit and Product Hunt. Built on FastAPI with an open model backend and a rules engine modeled on real launch post structures, the tool is currently in free beta at launchcraft.io. The developer is inviting users to test it with a real project and provide candid feedback on which parts still sound robotic. Testers are also asked whether the tool would be worth a potential $9 monthly subscription.

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