# arabic

Published articles for arabic.

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## Mistral x HUMAIN

DevFeed: [Mistral x HUMAIN](<https://devfeed.tech/articles/mistral-x-humain-7089.md>)

Original publisher: [Read original article](<https://mistral.ai/news/mistral-x-humain/>)

Published: 2026-08-24T16:02:41Z

Content type: article

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [AI Strategy](<https://devfeed.tech/topics/ai-strategy.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Model Development](<https://devfeed.tech/topics/model-development.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Localization (l10n)](<https://devfeed.tech/topics/localization.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Cybersecurity](<https://devfeed.tech/topics/cybersecurity.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [ai-platform](<https://devfeed.tech/tags/ai-platform.md>), [arabic](<https://devfeed.tech/tags/arabic.md>), [data](<https://devfeed.tech/tags/data.md>), [data-center](<https://devfeed.tech/tags/data-center.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [europe](<https://devfeed.tech/tags/europe.md>), [financial-services](<https://devfeed.tech/tags/financial-services.md>), [manufacturing](<https://devfeed.tech/tags/manufacturing.md>), [model-development](<https://devfeed.tech/tags/model-development.md>), [public-sector](<https://devfeed.tech/tags/public-sector.md>), [security](<https://devfeed.tech/tags/security.md>)

### AI overview

Mistral and HUMAIN announce a strategic collaboration to advance sovereign AI in Saudi Arabia and across the Middle East. The initiative covers AI infrastructure, advanced model development, localized Arabic-capable models, and deployment of AI solutions for regulated industries.

### Source excerpt

The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.

## Voxtral transcribes at the speed of sound.

DevFeed: [Voxtral transcribes at the speed of sound.](<https://devfeed.tech/articles/voxtral-transcribes-at-the-speed-of-sound-7134.md>)

Original publisher: [Read original article](<https://mistral.ai/news/voxtral-transcribe-2/>)

Published: 2026-02-04T16:00:00Z

Content type: article

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [asr](<https://devfeed.tech/topics/asr.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [Security](<https://devfeed.tech/topics/security.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [apache](<https://devfeed.tech/tags/apache.md>), [arabic](<https://devfeed.tech/tags/arabic.md>), [audio](<https://devfeed.tech/tags/audio.md>), [batch](<https://devfeed.tech/tags/batch.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [cost](<https://devfeed.tech/tags/cost.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [models](<https://devfeed.tech/tags/models.md>), [open](<https://devfeed.tech/tags/open.md>), [performance](<https://devfeed.tech/tags/performance.md>), [security](<https://devfeed.tech/tags/security.md>), [speech](<https://devfeed.tech/tags/speech.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [transcription](<https://devfeed.tech/tags/transcription.md>)

### AI overview

Mistral introduces Voxtral Transcribe 2, a family of speech-to-text models comprising Voxtral Mini Transcribe V2 for batch transcription and Voxtral Realtime for live applications. The release highlights speaker diarization, word-level timestamps, multilingual transcription in 13 languages, configurable sub-200 ms latency, streaming transcription, and open Apache 2.0 weights for edge deployment.

### Source excerpt

The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.

## Alyah ⭐: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs

DevFeed: [Alyah ⭐: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs](<https://devfeed.tech/articles/alyah-toward-robust-evaluation-of-emirati-dialect-capabilities-in-arabic-llms-7505.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/tiiuae/emirati-benchmarks>)

Author: Omar saif alkaabi; Ahmed Alzubaidi; Hamza Alobeidli; Shaikha Alsuwaidi; Mohammed Alyafeai; Leen AlQadi; Basma Boussaha; Hakim Hacid

Published: 2026-01-27T10:26:42Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>)

Tags: [arabic](<https://devfeed.tech/tags/arabic.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [blog](<https://devfeed.tech/tags/blog.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [llms](<https://devfeed.tech/tags/llms.md>), [technology](<https://devfeed.tech/tags/technology.md>), [testing](<https://devfeed.tech/tags/testing.md>)

### AI overview

This article introduces Alyah, an Emirati-centric benchmark for evaluating how Arabic large language models understand Emirati dialect, including its linguistic, cultural, and pragmatic nuances. The benchmark contains 1,173 manually collected samples from native Emirati speakers and covers local expressions, greetings, anecdotes, heritage questions, and Emirati poetry.

### Source excerpt

A Blog post by Technology Innovation Institute on Hugging Face

## Introducing Falcon-H1-Arabic: Pushing the Boundaries of Arabic Language AI with Hybrid Architecture

DevFeed: [Introducing Falcon-H1-Arabic: Pushing the Boundaries of Arabic Language AI with Hybrid Architecture](<https://devfeed.tech/articles/introducing-falcon-h1-arabic-pushing-the-boundaries-of-arabic-language-ai-with-hybrid-architecture-7509.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/tiiuae/falcon-h1-arabic>)

Author: Basma Boussaha; Mohammed Alyafeai; Ahmed Alzubaidi; Leen AlQadi; Shaikha Alsuwaidi; Omar saif alkaabi; Hamza Alobeidli; Hakim Hacid

Published: 2026-01-05T09:16:51Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Natural language processing](<https://devfeed.tech/topics/nlp.md>), [Mamba](<https://devfeed.tech/topics/mamba.md>), [Transformer](<https://devfeed.tech/topics/transformer.md>), [long-context](<https://devfeed.tech/topics/long-context.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [arabic](<https://devfeed.tech/tags/arabic.md>), [blog](<https://devfeed.tech/tags/blog.md>), [building](<https://devfeed.tech/tags/building.md>), [community](<https://devfeed.tech/tags/community.md>), [design](<https://devfeed.tech/tags/design.md>), [developers](<https://devfeed.tech/tags/developers.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [innovation](<https://devfeed.tech/tags/innovation.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [learning](<https://devfeed.tech/tags/learning.md>), [long-context](<https://devfeed.tech/tags/long-context.md>), [mamba](<https://devfeed.tech/tags/mamba.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [natural-language-processing](<https://devfeed.tech/tags/natural-language-processing.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [technology](<https://devfeed.tech/tags/technology.md>)

### AI overview

The article introduces Falcon-H1-Arabic, a family of 3B, 7B, and 34B Arabic language models. It describes a hybrid architecture that combines Mamba State Space Models with Transformer attention in parallel, aiming to improve long-context coherence, reasoning, efficiency, and deployment across edge devices and enterprise applications.

### Source excerpt

A Blog post by Technology Innovation Institute on Hugging Face

## Falcon-Arabic: A Breakthrough in Arabic Language Models

DevFeed: [Falcon-Arabic: A Breakthrough in Arabic Language Models](<https://devfeed.tech/articles/falcon-arabic-a-breakthrough-in-arabic-language-models-7506.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/tiiuae/falcon-arabic>)

Author: Basma Boussaha; Mohammed Alyafeai; Ahmed Alzubaidi; Leen AlQadi; Younes B; Mike Lubinets; Hakim Hacid; Falcon LLM TII UAE

Published: 2025-05-21T06:35:36Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Large language models (LLMs)](<https://devfeed.tech/topics/large-language-models-llms.md>), [Natural language processing](<https://devfeed.tech/topics/nlp.md>), [long-context](<https://devfeed.tech/topics/long-context.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [arabic](<https://devfeed.tech/tags/arabic.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [blog](<https://devfeed.tech/tags/blog.md>), [blog-post](<https://devfeed.tech/tags/blog-post.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [rag](<https://devfeed.tech/tags/rag.md>), [technology](<https://devfeed.tech/tags/technology.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

### AI overview

The article introduces Falcon-Arabic, a 7B-parameter multilingual language model built on the Falcon 3 architecture. It is designed for Arabic and English, supports Modern Standard Arabic and regional dialects, handles 32,000-token contexts, and targets tasks including grammar, mathematical reasoning, complex problem solving, content creation, and retrieval-augmented generation. The article presents it as an efficient, accessible, and open-source model that addresses the underrepresentation of Arabic in AI.

### Source excerpt

A Blog post by Technology Innovation Institute on Hugging Face

## Arabic Leaderboards: Introducing Arabic Instruction Following, Updating AraGen, and More

DevFeed: [Arabic Leaderboards: Introducing Arabic Instruction Following, Updating AraGen, and More](<https://devfeed.tech/articles/arabic-leaderboards-introducing-arabic-instruction-following-updating-aragen-and-more-7309.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/leaderboard-3c3h-aragen-ifeval>)

Author: Ali El Filali; Sarah AlBarri; Abouelseoud; samta kamboj; Neha Sengupta; Preslav Nakov

Published: 2025-04-08T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [arabic](<https://devfeed.tech/tags/arabic.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [community](<https://devfeed.tech/tags/community.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [leaderboard](<https://devfeed.tech/tags/leaderboard.md>), [leaderboards](<https://devfeed.tech/tags/leaderboards.md>), [llm](<https://devfeed.tech/tags/llm.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>)

### AI overview

This article announces Arabic-Leaderboards, a unified platform for Arabic AI evaluations, and introduces Arabic Instruction Following powered by the Arabic IFEval Benchmark. It also presents an updated AraGen release with a larger 340-pair evaluation dataset and publicly releases the AraGen-12-24 benchmark and model responses evaluated by Claude-3.5-Sonnet under the 3C3H guidelines.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Mistral Saba

DevFeed: [Mistral Saba](<https://devfeed.tech/articles/mistral-saba-7075.md>)

Original publisher: [Read original article](<https://mistral.ai/news/mistral-saba/>)

Published: 2025-02-17T14:00:00Z

Content type: news

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [API](<https://devfeed.tech/topics/api.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [arabic](<https://devfeed.tech/tags/arabic.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [financial](<https://devfeed.tech/tags/financial.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [healthcare](<https://devfeed.tech/tags/healthcare.md>), [language](<https://devfeed.tech/tags/language.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [mistral](<https://devfeed.tech/tags/mistral.md>), [models](<https://devfeed.tech/tags/models.md>), [parameter](<https://devfeed.tech/tags/parameter.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [responses](<https://devfeed.tech/tags/responses.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [train](<https://devfeed.tech/tags/train.md>)

### AI overview

Mistral Saba is a 24B-parameter regional language model trained on curated datasets from the Middle East and South Asia. It supports Arabic and several Indian-origin languages, can be accessed through an API or deployed locally, and is designed for fast, lower-cost responses on single-GPU systems.

### Source excerpt

The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.

## The Open Arabic LLM Leaderboard 2

DevFeed: [The Open Arabic LLM Leaderboard 2](<https://devfeed.tech/articles/the-open-arabic-llm-leaderboard-2-7311.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/leaderboard-arabic-v2>)

Author: Ali El Filali; Manel ALOUI; Tarique Husaain; Ahmed Alzubaidi; Basma Boussaha; Ruxandra Cojocaru; Hakim Hacid; Clémentine Fourrier

Published: 2025-02-10T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [Natural language processing](<https://devfeed.tech/topics/nlp.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [arabic](<https://devfeed.tech/tags/arabic.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [leaderboard](<https://devfeed.tech/tags/leaderboard.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llms](<https://devfeed.tech/tags/llms.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [research](<https://devfeed.tech/tags/research.md>), [verification](<https://devfeed.tech/tags/verification.md>)

### AI overview

The article introduces the second Open Arabic LLM Leaderboard and explains the need for accessible, transparent, and reproducible evaluation of Arabic language models. It discusses limitations of earlier leaderboards, including high computing costs and unverifiable user-submitted results, and describes related benchmarking initiatives and datasets.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Rethinking LLM Evaluation with 3C3H: AraGen Benchmark and Leaderboard

DevFeed: [Rethinking LLM Evaluation with 3C3H: AraGen Benchmark and Leaderboard](<https://devfeed.tech/articles/rethinking-llm-evaluation-with-3c3h-aragen-benchmark-and-leaderboard-7308.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/leaderboard-3c3h-aragen>)

Author: Ali El Filali; Neha Sengupta; Abouelseoud; Preslav Nakov; Clémentine Fourrier

Published: 2024-12-04T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Human-AI evaluation](<https://devfeed.tech/topics/human-ai-evaluation.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [open-llm-leaderboard](<https://devfeed.tech/topics/open-llm-leaderboard.md>)

Tags: [arabic](<https://devfeed.tech/tags/arabic.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [leaderboard](<https://devfeed.tech/tags/leaderboard.md>), [llm](<https://devfeed.tech/tags/llm.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-llm-leaderboard](<https://devfeed.tech/tags/open-llm-leaderboard.md>), [performance](<https://devfeed.tech/tags/performance.md>), [research](<https://devfeed.tech/tags/research.md>)

### AI overview

The article introduces the AraGen Benchmark and Leaderboard for evaluating Arabic large language models. It presents the 3C3H Measure, which uses LLM-as-judge assessment across correctness, completeness, conciseness, helpfulness, honesty, and harmlessness. AraGen also uses private three-month blind testing cycles and a multi-turn and single-turn Arabic evaluation dataset to reduce data contamination and assess both factuality and practical usability.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Android UI screenshot testing across locales, font sizes, orientations, and UI modes

DevFeed: [Android UI screenshot testing across locales, font sizes, orientations, and UI modes](<https://devfeed.tech/articles/design-a-pixel-perfect-android-app-25689.md>)

Original publisher: [Read original article](<https://sergiosastre.hashnode.dev/design-a-pixel-perfect-android-app-with-screenshot-testing>)

Author: Sergio Sastre Florez

Published: 2022-03-30T05:29:19Z

Content type: tutorial

Language: en

Sources: [Sergio's little tech corner](<https://devfeed.tech/sources/sergio-s-little-tech-corner.md>)

Topics: [Android](<https://devfeed.tech/topics/android.md>), [screenshot-testing](<https://devfeed.tech/topics/screenshot-testing.md>), [ui-testing](<https://devfeed.tech/topics/ui-testing.md>), [ui](<https://devfeed.tech/topics/ui.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [User experience (UX)](<https://devfeed.tech/topics/ux.md>)

Tags: [android](<https://devfeed.tech/tags/android.md>), [android-app-development](<https://devfeed.tech/tags/android-app-development.md>), [arabic](<https://devfeed.tech/tags/arabic.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [design](<https://devfeed.tech/tags/design.md>), [language](<https://devfeed.tech/tags/language.md>), [layout](<https://devfeed.tech/tags/layout.md>), [pixel](<https://devfeed.tech/tags/pixel.md>), [screenshot-testing](<https://devfeed.tech/tags/screenshot-testing.md>), [test](<https://devfeed.tech/tags/test.md>), [testing](<https://devfeed.tech/tags/testing.md>), [ui-testing](<https://devfeed.tech/tags/ui-testing.md>), [ux](<https://devfeed.tech/tags/ux.md>)

### AI overview

This tutorial explains how Android screenshot testing can verify UI correctness across configurations such as locales, font sizes, orientations, and light or dark modes. It also discusses localization concerns including right-to-left layouts, mirrored drawables, and numeral systems.

### Source excerpt

The success of your app depends heavily on its UI/UX. The more popular your app becomes, the more you should care about the diversity of your users. They might speak different languages, suffer from some sort of visual impairment, or feel too much ey...

## Right SideMenu and Tab Order

DevFeed: [Right SideMenu and Tab Order](<https://devfeed.tech/articles/right-sidemenu-and-tab-order-19499.md>)

Original publisher: [Read original article](<https://www.codenameone.com/blog/right-sidemenu-tab-order/>)

Author: Shai Almog

Published: 2018-06-05T00:00:00Z

Content type: release

Language: en

Sources: [CodeName One](<https://devfeed.tech/sources/codename-one.md>)

Topics: [Internationalization (i18n)](<https://devfeed.tech/topics/i18n.md>), [ui](<https://devfeed.tech/topics/ui.md>), [Pull Request](<https://devfeed.tech/topics/pull-request.md>)

Tags: [announcements](<https://devfeed.tech/tags/announcements.md>), [arabic](<https://devfeed.tech/tags/arabic.md>), [keyboard](<https://devfeed.tech/tags/keyboard.md>), [languages](<https://devfeed.tech/tags/languages.md>), [new-features](<https://devfeed.tech/tags/new-features.md>), [next](<https://devfeed.tech/tags/next.md>), [ui](<https://devfeed.tech/tags/ui.md>)

### AI overview

The article announces upcoming Codename One improvements for right-side menus and tab order. Right-side menu support addresses RTL interface layouts, while the tab-order discussion concerns keyboard navigation and input cycles.

### Source excerpt

As I mentioned the other day, we have a lot of new features and announcements. Today I'd like to discuss the upcoming right side menu bar and new tab order functionality. Right SideMenu The old SideMenuBar supported the placement of the menu anywhere we want. We could place it in the left/right/top or bottom. The problem was that this support was painfully unreliable and inconsistent. When we migrated to the Toolbar API we ignored that support and only included the left side menu support. For some of us this isn't a big deal. Just a small limitation. However, if your app is localized to an RTL language this might be a problem.