SShortSingh.
Back to feed

Google Gemini Expands Into AI-Powered Shopping With Cart and Visual Search Tools

0
·8 views

Google is integrating shopping capabilities across Gemini, AI Mode, and its Shopping Graph, aiming to make AI-assisted product discovery a more connected part of the buying journey. A promotional demo suggests users may soon research purchases, compare products, and browse using camera images directly within Gemini. Google's I/O 2026 materials also highlight a Universal Cart concept that can aggregate items from Search, Gemini, YouTube, and Gmail into a single intelligent cart. The initiative includes Buy buttons on eligible product listings within AI Mode, pointing toward purchase paths that extend beyond traditional search results. Exact availability, supported markets, and merchant requirements for these features have not yet been officially confirmed.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

rekuiper 0.500 moves metadata to RAM, hits 200k msg/s on single core at edge

The rekuiper project, a Rust-based reimplementation of LF Edge eKuiper for IoT edge gateways, has released version 0.500-beta with a major architectural overhaul. Earlier benchmarks showed the engine handling 100,000 messages per second on a single CPU core, but performance degraded at 200,000 msg/s, leaving the true throughput ceiling unknown. Profiling revealed the bottleneck was disk I/O — specifically SQLite metadata lookups and flash storage stalls on embedded devices like industrial gateways — rather than CPU or parsing logic. To fix this, developers rebuilt the engine's internal catalog as an in-memory structure, hydrating all stream and rule metadata from SQLite once at startup and serving subsequent reads entirely from RAM with no filesystem calls. Hierarchical benchmarking at 1,000 msg/s resolution then allowed the team to identify the exact single-core physical throughput limits across multiple real-world MQTT workloads, reaching up to 200,000 messages per second.

0
ProgrammingDEV Community ·

Developer Builds Zero-Dependency Node.js Tool to Block Secrets Before Git Commits

A developer has released Secret-Scrub, an open-source Node.js CLI tool designed to prevent accidental exposure of API keys and credentials in Git repositories. The tool uses two detection layers: regex-based signature matching for known token formats such as AWS, GitHub, Stripe, and OpenAI keys, and Shannon entropy analysis to catch high-randomness strings without vendor prefixes. It integrates directly as a Git pre-commit hook, automatically blocking any commit that contains a suspected secret before it can be pushed. A staged-only scan mode limits checks to files currently queued for commit, completing the process in under 40 milliseconds to minimise disruption to developer workflows. Secret-Scrub is available on GitHub under the MIT licence and can be installed via a single npx command.

0
ProgrammingDEV Community ·

QuickShare-QR lets developers transfer files to phones via terminal QR codes

A developer has built QuickShare-QR, an open-source Node.js CLI tool that enables instant local file transfers from a computer to a smartphone without cloud services. The tool spins up a temporary HTTP server on the local network, generates a scannable ASCII QR code in the terminal, and begins streaming the file as soon as the phone's camera scans it. Files never leave the local Wi-Fi network, with transfer speeds reaching up to 80 MB/s depending on bandwidth. Security features include path confinement against directory traversal attacks, dynamic ephemeral ports, and optional single-use tokens to restrict download access. The tool requires no permanent installation and can be run directly via npx, with the server automatically shutting down once the transfer completes.

0
ProgrammingDEV Community ·

Google Expands Gemini Notebook With Code Execution and Cross-Ecosystem Sync

Google rebranded NotebookLM as Gemini Notebook in July 2026 and announced expanded capabilities including notebook code execution and cross-ecosystem syncing. A separate September 2026 update introduced Notebooks in Gemini as a dedicated workspace for schools and organisations. While Google's Studio materials reference generated artifacts and allow users to select them within the Studio panel, no official documentation confirms a redesign or reorganisation of an artifacts tab. Google has not published a rollout timeline or feature details for any such change, making it premature for teams to plan around it. The confirmed story remains Gemini Notebook's broader evolution into a more connected, cross-ecosystem workspace.