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05:35
2026-05-24
dev.to
machine-learning

Perovskite cell scaps simulation analysis

This article describes a final-year project that uses SCAPS-1D simulation data to create a structured analysis pipeline for Perovskite Solar Cells (PSCs). The project includes modules for studying dark I-V and illuminate…

03:25
2026-05-24
gist.github.com
developer-tools

This tool maps cell IDs to their corresponding headings and content. Standalone TOC Generator for Google Colab Copyright (c) 2026 1abcdefggs Licensed under the MIT License Source: https://github.com/1abcdefggs/cell-id-call GitHub: https://github.com/1abcdefggs

This article describes a standalone Python script called `standalone_toc.py` that generates a table of contents for Google Colab notebooks. The tool helps users map cell IDs to their corresponding headings and content, m…

01:35
2026-05-24
dev.to
artificial-intelligence

Anatomy of the Slopster

The article, titled "Anatomy of the Slopster," is a submission for the Gemma 4 Challenge that explores using Gemma 4, an open-weight AI model, with Google's Agent Development Kit (ADK) to build a misinformation detection…

01:21
2026-05-24
dev.to
cybersecurity

Web security headers + HSTS + CSP

The article provides a comprehensive technical guide on implementing web security headers, HSTS, and CSP for managing over 130 production client sites on self-managed Linux infrastructure. It emphasizes that security dir…

01:04
2026-05-24
dev.to
developer-tools

Surviving Google's core algorithm updates

This article provides a comprehensive framework for handling Google's core algorithm updates, which are described as the largest and most disruptive changes Google makes to its ranking systems. It outlines a dual-purpose…

01:04
2026-05-24
dev.to
developer-tools

Google's Helpful Content System (HCS) explained

Based on the article, Google's Helpful Content System (HCS) is a framework designed to prioritize content created for people over content created primarily for search engine rankings. Launched in August 2022, it became p…

01:03
2026-05-24
dev.to
developer-tools

Schema.org + JSON-LD: the complete pattern reference

This article serves as a comprehensive reference for implementing Schema.org structured data using JSON-LD, emphasizing its critical role for Google, AI crawlers, and SERP features in 2026. It details the modern "@id gra…

01:03
2026-05-24
dev.to
data

Wikidata, Wikipedia, and Knowledge Graph entity engineering

This article serves as a comprehensive guide for establishing and managing business entities within Google's Knowledge Graph, utilizing Wikidata and Wikipedia as primary tools. It explains that entity recognition leads t…

01:03
2026-05-24
dev.to
developer-tools

Google's 18 spam policies and how to comply

Google's 18 spam policies define manipulative practices that can result in ranking suppression, deindexing, or manual penalties, operating independently from quality frameworks like E-E-A-T. The March 2024 update added t…

01:03
2026-05-24
dev.to
artificial-intelligence

Optimizing for Google AI Overviews and AI Mode

This article provides a technical framework for optimizing content to appear in Google AI Overviews and AI Mode, which are powered by the Gemini 3 Pro model. It explains that citation in these AI surfaces has "decoupled"…

01:03
2026-05-24
dev.to
artificial-intelligence

AI Citations: how ChatGPT, Claude, Gemini cite sources

Based on the article, AI Citation optimization is a practice focused on structuring content so that AI engines like ChatGPT, Claude, and Gemini select it as a source, which is distinct from traditional SEO. The framework…

01:02
2026-05-24
dev.to
developer-tools

E-E-A-T: Google's quality framework explained

Based on the provided text, this document serves as a comprehensive installation and audit reference for implementing Google's E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) framework on any website …

22:52
2026-05-23
dev.to
artificial-intelligence

Gemma 4 dense by default: why your local agent doesn't want the MoE

Here is a 2-3 sentence factual summary of the article: The article argues that for local agent workloads like multi-turn tool use and code editing, Google's dense 31B-parameter Gemma 4 model is a better default than the…

22:52
2026-05-23
dev.to
artificial-intelligence

CodeMender Doesn't Work Without a Skeptic

At Google I/O 2026, Google DeepMind announced CodeMender, an autonomous code-security agent that uses a "reasoning model" to propose patches for vulnerabilities and a separate "critique agent" to rigorously validate thos…