# trends Published articles for trends. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How Lovable Migrated lovable.dev from Next.js to TanStack Start DevFeed: [How Lovable Migrated lovable.dev from Next.js to TanStack Start]() Original publisher: [Read original article]() Author: Alexandre Zajac Published: 2026-08-24T15:30:50Z Content type: article Language: en Sources: [Hungry Minds]() Topics: [Next.js](), [Development](), [Software Engineering](), [dogfooding](), [Vercel](), [TypeScript]() Tags: [adapter-pattern](), [development](), [dogfooding](), [framework](), [next-js](), [software-engineering](), [trends](), [typescript](), [vercel]() ### AI overview The article describes Lovable's migration of lovable.dev from Next.js on Vercel to TanStack Start. It outlines a gradual rollout using parallel routing and feature flags, route grouping, shared framework-agnostic code, adapters, and AI-assisted migration. ### Source excerpt PLUS: Semantic layer at PostHog πŸ—, AliExpress fingerprinting πŸ”Ž , Git serving rebuilt at Datadog πŸ“ˆ ## The State of Trusted Open Source: June 2026 DevFeed: [The State of Trusted Open Source: June 2026]() Original publisher: [Read original article]() Published: 2026-06-30T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [Open Source](), [supply-chain-security](), [vulnerability](), [Artificial Intelligence](), [Security]() Tags: [2026](), [ai](), [chainguard](), [chainguard-containers](), [chainguard-libraries](), [cve](), [cve-data](), [cves](), [data](), [dependency](), [java](), [javascript](), [nginx](), [node](), [open-source](), [python](), [report](), [security](), [software](), [software-supply-chain](), [software-supply-chain-security](), [state-of-trusted-open-source](), [trends](), [vulnerability]() ### AI overview Chainguard's June 2026 report analyzes vulnerability data from more than 2,400 container image projects and 18,016 vulnerability instances observed from March through May 2026. It reports 886 distinct CVEs, with 63.1% of observed instances classified as high severity, and examines how AI-assisted development and security research are affecting software supply-chain risk. ### Source excerpt AI is accelerating vulnerability discovery. Explore the latest trusted open source trends, dependency risks, and CVE insights from Chainguard's report. ## State of the Designer 2026: Designers are leaning into the messy middle DevFeed: [State of the Designer 2026: Designers are leaning into the messy middle]() Original publisher: [Read original article]() Author: Madeline Stafford Published: 2026-02-12T17:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Artificial Intelligence](), [Tool]() Tags: [2026](), [ai](), [ai-tools](), [design](), [performance](), [product-design](), [quality](), [report](), [research](), [survey](), [trends](), [work]() ### AI overview Figma's State of the Designer 2026 report examines how digital designers are using AI tools to work faster, collaborate better, and improve design quality. Based on a survey of 906 designers across multiple regions, it reports that AI-using designers are more likely to be satisfied at work and perceive greater business impact. ### Source excerpt Our State of the Designer report explores how designers around the world are upleveling their skills, keeping craft high, and turning new pressures into creative momentum. ## 2025 CVE Data Review DevFeed: [2025 CVE Data Review]() Original publisher: [Read original article]() Author: jgamblin Published: 2026-01-01T18:38:43Z Content type: article Language: en Sources: [Jerry Gamblin]() Topics: [Vulnerabilities](), [data](), [Statistics](), [Security](), [Content Management System](), [Linux Kernel](), [web applications]() Tags: [2025](), [analysis](), [cms](), [cve](), [data](), [linux-kernel](), [patch-tuesday](), [report](), [statistics](), [supply-chain](), [trends](), [uncategorized](), [volume](), [vulnerabilities]() ### AI overview This review analyzes 2025 CVE publication data, reporting 48,185 published CVEs, a 20.6% increase from 2024. It highlights stable median CVSS scores, growth in web application and CMS-related flaws, publication clustering around vendor release cycles, and the Linux Kernel as the product with the most listed vulnerabilities. The article recommends prioritizing vulnerabilities by exploitability and automating remediation where possible. ### Source excerpt 2025 set a new baseline with 48,185 published CVEs. While the sheer volume is climbing, the median CVSS score remained surprisingly stable. We are seeing a distinct shift toward web application flaws (specifically in the CMS ecosystem) and a wider distribution of vendors, proving that vulnerabilities are spreading deeper into the supply chain. This massive growth ... Read more ## SaaS Industry Report 2025-2026: 50+ Stats, Trends & 2026 Forecasts DevFeed: [SaaS Industry Report 2025-2026: 50+ Stats, Trends & 2026 Forecasts]() Original publisher: [Read original article]() Author: Joshua D'Costa Published: 2025-12-31T00:00:00Z Content type: article Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [Generative AI](), [Loop Engineering](), [Development]() Tags: [2025](), [2026](), [agentic](), [ai](), [pricing](), [report](), [retention](), [saas](), [trends]() ### AI overview This SaaS industry report reviews market growth, profitability-focused investment, retention, vertical specialization, usage-based pricing, Generative AI, and agentic workflows across 2025 and projected 2026 trends. ### Source excerpt Hard data on SaaS growth in 2025 and what's next for 2026: AI adoption rates, usage-based pricing shift, retention benchmarks by ARR band, and 5 trends shaping the year. ## The State of Trusted Open Source: December 2025 DevFeed: [The State of Trusted Open Source: December 2025]() Original publisher: [Read original article]() Published: 2025-12-18T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [Open Source](), [Containers](), [chainguard containers](), [Security](), [Vulnerabilities](), [open-source-security]() Tags: [2025](), [ai](), [chainguard](), [chainguard-containers](), [chainguard-cves](), [chainguard-images](), [chainguard-report](), [containers](), [cve-data](), [open-source-software](), [report](), [security](), [state-of-trusted-open-source](), [trends](), [vulnerabilities]() ### AI overview Chainguard's December 2025 State of Trusted Open Source report examines open source usage, CVE data, vulnerability remediation, and compliance trends across its customer base and container image catalog. It highlights Python's role in AI workloads, the prevalence of longtail images in production, the concentration of remediated vulnerabilities outside the top 20 projects, FIPS image usage, and remediation of Critical CVEs in under 20 hours on average. ### Source excerpt Chainguard's State of Trusted Open Source for December 2025 dives into usage trends for Chainguard Containers, CVE data, and why remediation speed matters. ## Inside our effort to improve the Mintlify assistant DevFeed: [Inside our effort to improve the Mintlify assistant]() Original publisher: [Read original article]() Author: Patrick Foster Published: 2025-12-12T00:00:00Z Content type: article Language: en Sources: [Mintlify Blog]() Topics: [Artificial Intelligence](), [clickhouse](), [data](), [Large Language Model](), [Software]() Tags: [ai](), [analysis](), [clickhouse](), [customer](), [data](), [engineering](), [llm](), [model](), [pipeline](), [quality](), [query](), [responses](), [script](), [server](), [thread](), [trends]() ### AI overview This article explains how Mintlify analyzed and improved its assistant by rebuilding the feedback pipeline, moving conversation data into ClickHouse, and classifying negative interactions with an LLM. The analysis identified documentation search quality as the assistant's main weakness, while other responses were generally strong. ### Source excerpt A data-driven look at improving the assistant, powered by ClickHouse and deeper feedback analysis. ## The Trends #9: TypeScript just became the most used programming language on GitHub DevFeed: [The Trends #9: TypeScript just became the most used programming language on GitHub]() Original publisher: [Read original article]() Author: Dr Milan MilanoviΔ‡ Published: 2025-12-11T16:02:37Z Content type: article Language: en Sources: [Tech World With Milan Newsletter]() Topics: [TypeScript](), [GitHub](), [Programming](), [Artificial Intelligence](), [Language models](), [Robotics]() Tags: [ai](), [ai-agents](), [api](), [github](), [mcp](), [programming](), [programming-language](), [trends](), [typescript]() ### AI overview A roundup of technology trends covering AI adoption and trust, TypeScript's reported rise as the most-used language on GitHub, AI-ready APIs and MCP usage, AI in robotics, and software development practices to avoid. ### Source excerpt The Trends filter tracks tech trends: what moved, why it matters, and what to watch next. ## Open ASR Leaderboard: Trends and Insights with New Multilingual & Long-Form Tracks DevFeed: [Open ASR Leaderboard: Trends and Insights with New Multilingual & Long-Form Tracks]() Original publisher: [Read original article]() Author: Eric Bezzam; Steven Zheng; Eustache Le Bihan; Vaibhav Srivastav Published: 2025-11-21T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [asr](), [Open Source](), [Inference](), [Language models](), [Fine-tuning](), [multimodal]() Tags: [asr](), [audio](), [benchmarks](), [datasets](), [fine-tuning](), [ibm](), [inference](), [large-language-model](), [leaderboard](), [microsoft](), [multimodal](), [nvidia](), [open-source](), [qwen](), [real-time](), [speech](), [transcription](), [trends](), [whisper]() ### AI overview The Open ASR Leaderboard expands its evaluation with multilingual and long-form transcription tracks. The article highlights accuracy advantages from combining Conformer encoders with LLM decoders, throughput advantages from CTC and TDT decoders, Whisper as a multilingual baseline, and the effects of fine-tuning on specialized performance. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Here comes another bubble (2025) DevFeed: [Here comes another bubble (2025)]() Original publisher: [Read original article]() Author: Maria Vechtomova Published: 2025-06-21T17:59:03Z Content type: opinion Language: en Sources: [MarvelousMLOps]() Topics: [Artificial Intelligence](), [Large Language Model](), [AI Agent](), [anthropic](), [ChatGPT](), [Model Context Protocol](), [Google]() Tags: [2025](), [agent](), [ai](), [chatgpt](), [claude](), [llms](), [mcp](), [startup](), [tokens](), [trends]() ### AI overview An AI-generated parody song examines the technology industry's 2025 AI hype, referencing ChatGPT, GPT-4, Claude, Bard, AI agents, MCP, startups, venture capital, demos, and model hallucinations. ### Source excerpt The AI hype song ## How we aggregate 70 billion prices to show price context to our users DevFeed: [How we aggregate 70 billion prices to show price context to our users]() Original publisher: [Read original article]() Author: Santiago Bohorquez Suarez Data Analyst Published: 2025-02-13T00:00:00Z Content type: article Language: en Sources: [Trivago]() Topics: [data](), [Development](), [datasets](), [Kafka](), [real-time]() Tags: [data](), [data-science](), [datasets](), [development](), [kafka](), [product-development](), [real-time](), [stream](), [technical](), [trends]() ### AI overview trivago describes how it aggregates historic advertiser price data to provide scalable, fast price context for destinations and accommodations. The article explains the limitations of real-time aggregation, the challenges caused by fragmented datasets and technical debt, and the design goals for its Price Stream data product. ### Source excerpt Price comparison is one of the key value propositions of trivago, and in doing so, we handle billions of prices everyday to provide our users with the most accurate and up to date price as possi... ## AI on a Hype Cycle DevFeed: [AI on a Hype Cycle]() Original publisher: [Read original article]() Author: Peter Lawrey (noreply@blogger.com) Published: 2024-12-15T20:38:00Z Content type: opinion Language: en Sources: [Vanilla Java]() Topics: [Artificial Intelligence](), [AI Models](), [coding](), [Learning]() Tags: [ai](), [ai-models](), [developers](), [exercise](), [info](), [opinion](), [technology](), [trends]() ### AI overview This article examines AI through the lens of technology hype cycles, arguing that developers should learn from past technological trends, maintain perspective about short-term hype, and prepare for AI's longer-term effects. ### Source excerpt This is the first in a series of posts supporting a talk I will be giving online at JChampionConf 27th January 27th 2025. Lessons learnt from founding my own company, and over 30 years hands on coding In these posts, I am looking to provide some theory as well as practical examples. One way to try to predict what is possible in the future is to look at the past. One of may favourite ways to look at the past is through aphorisms. Aphorisms are short, pithy statements that express a general truth or opinion. I love quotations because it is a joy to find thoughts one might have, beautifully expressed with much authority by someone recognised wiser than oneself. -- Marlene Dietrich 1901-1992 Quotes about Learning from History and Adaptability The only constant is change. -- Heraclitus of Ephesus c. 500 BCE In the ever-evolving realm of AI, this ancient wisdom remains pertinent. Today's cutting-edge AI models may become tomorrow's standard tools. Developers must stay agile, continually updating their skill sets to keep pace with technological advancements. The only constant in the technology industry is change. We are now in the most exciting time of our industry. -- Marc Benioff Salesforce CEO Embracing this change is a hallmark of a senior developer. In an industry where new frameworks, platforms, and tools appear constantly, the ability to evolve, learn from past experiences, and mentor others ensures you remain indispensable. History doesn't repeat itself, but it often rhymes. -- Mark Twain (no definitive written source) Early 20th century History provides a blueprint for what might be possible with AI. By studying previous technological trends, developers can better prepare for the challenges and opportunities that AI presents. We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run. -- Roy Amara Institute for the Future Known as Amara's Law, this principle is crucial when assessing AI's impact. While the immediate ## AI and Innovation Take Center Stage at trivago Tech Get Together 2024 DevFeed: [AI and Innovation Take Center Stage at trivago Tech Get Together 2024]() Original publisher: [Read original article]() Author: Ololade Ogeye Published: 2024-07-26T00:00:00Z Content type: article Language: en Sources: [Trivago]() Topics: [Artificial Intelligence](), [AI Strategy](), [Google](), [site-reliability-engineering]() Tags: [adoption](), [ai](), [artificial-intelligence](), [conference](), [engineering-culture](), [event](), [google](), [keynote](), [knowledge-sharing](), [talks](), [tech](), [trends](), [workshops]() ### AI overview trivago's 2024 Tech Get Together brought together more than 300 mostly tech employees for talks, keynotes, workshops, and discussions focused on artificial intelligence, innovation, and technology trends. The event covered AI adoption, ethical considerations, productivity claims, and other technical topics including Graph QL, Site Reliability Engineering, and Quality Assurance. ### Source excerpt In May this year, more than 300 of (mostly tech) trivago talents gathered for a full-day conference focused on knowledge sharing and valuable exchanges on the latest tech trends. Known as the tr... ## Databases in 2023: A Year in Review DevFeed: [Databases in 2023: A Year in Review]() Original publisher: [Read original article]() Author: Andy Pavlo Published: 2024-01-04T05:00:00Z Content type: opinion Language: en Sources: [Andy Pavlo - Carnegie Mellon University]() Topics: [Databases](), [Embeddings](), [data](), [Large Language Model](), [Transformer]() Tags: [blog](), [chatgpt](), [databases](), [embeddings](), [review](), [searching](), [transformers](), [trends](), [vector](), [year-in-review]() ### AI overview An annual review of major database developments and trends in 2023, focusing on the rise of vector databases and their use of embeddings and similarity search in applications influenced by large language models. ### Source excerpt Andy recounts the rise of vector databases to SQL:2023 to MariaDB troubles and the FAA outage in 2023. ## Lakehouse summer camp at Trino Fest 2023 DevFeed: [Lakehouse summer camp at Trino Fest 2023]() Original publisher: [Read original article]() Author: Brian Olsen Published: 2023-04-05T00:00:00Z Content type: news Language: en Sources: [Trino Blog]() Topics: [data-architecture](), [Query (disambiguation)](), [data-governance](), [SQL](), [Data Space](), [Apache Iceberg]() Tags: [analytics](), [collaboration](), [community](), [conference](), [data-governance](), [data-lake](), [education](), [event](), [latest-features](), [sql](), [tools-and-integrations](), [trends]() ### AI overview Trino Fest 2023 is a virtual two-day event focused on Trino as a data lakehouse query engine and on improving data lakehouse management. The event emphasizes education, community collaboration, and practical insights into Trino, its ecosystem, and data and analytics platforms. ### Source excerpt Get ready to kick off your summer with Commander Bun Bun at Trino Fest 2023! This year's event is going virtual and will take place over two days, the 14th and 15th of June. The focus of the event will be on Trino as a data lakehouse query engine, with discussions on how new features and the ecosystem around Trino can support better data lakehouse management. Trino Fest 2023 is the new annual summer event dedicated to all things Trino. Building on the success of last year's Cinco de Trino, we're excited to bring the community together once again to explore the latest trends and innovations in Trino and data lakehouse management. With a focus on education, community collaboration, and inspiration, Trino Fest 2023 will be a valuable experience for anyone interested in improving their data and analytics platform. We hope to see you there as attendee, speaker, or sponsor! Read below to find out how to sign up. ## Five Decades of Database Research DevFeed: [Five Decades of Database Research]() Original publisher: [Read original article]() Author: Viktor Leis (noreply@blogger.com) Published: 2023-02-07T14:31:00Z Content type: article Language: en Sources: [Database Architects]() Topics: [Database]() Tags: [articles](), [database](), [paper](), [research](), [trends]() ### AI overview An overview of five decades of database research, reporting that more than 24,000 articles have been published in major database venues since 1975. It notes that publication volume is rising and research topics change over time. ### Source excerpt Since 1975, over 24 thousand articles have have been published in major database venues (SIGMOD, VLDB/PVLDB, ICDE, EDBT, CIDR, TODS, VLDB Journal, TKDE). The number of papers per year is rising: Over time, the topics change. Looking at the percentage of keywords appearing in paper titles (in that particular year), we can see interesting trends: ## ЭкосистСма Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π² 2021 Π³ΠΎΠ΄Ρƒ: Ρ‡Π΅ΠΌ ΠΆΠΈΠ²ΡƒΡ‚ программисты Π² России ΠΈ ΠΌΠΈΡ€Π΅ DevFeed: [ЭкосистСма Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π² 2021 Π³ΠΎΠ΄Ρƒ: Ρ‡Π΅ΠΌ ΠΆΠΈΠ²ΡƒΡ‚ программисты Π² России ΠΈ ΠΌΠΈΡ€Π΅]() Original publisher: [Read original article]() Author: advertka (JetBrains) Published: 2021-11-25T13:11:18Z Content type: article Language: ru Sources: [JetBrains RU]() Topics: [JavaScript](), [Python](), [Java](), [DevOps]() Tags: [java](), [javascript](), [jetbrains](), [jetbrains-research](), [python](), [research](), [tag-2c039dce53be](), [tag-8e9a901cca08](), [tag-e75d8ba74bc8](), [trends]() ### AI overview A JetBrains survey of 31,743 developers from 183 countries examines the 2021 development ecosystem, comparing developer demographics, satisfaction, experience, and technology usage in Russia and worldwide. JavaScript was the most widely used language in both groups; Python was more common than Java in Russia, while Java remained ahead globally as a primary language. ### Source excerpt ΠŸΡ€ΠΈΠ²Π΅Ρ‚, Π₯Π°Π±Ρ€! Π’ этом Π³ΠΎΠ΄Ρƒ ΠΌΡ‹ ΠΏΡ€ΠΎΠ²Π΅Π»ΠΈ пятый Π΅ΠΆΠ΅Π³ΠΎΠ΄Π½Ρ‹ΠΉ опрос ΠΎ состоянии экосистСмы Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΈ выяснили, Ρ‡Π΅ΠΌ ΠΆΠΈΠ²ΡƒΡ‚ программисты, ΠΊΠ°ΠΊΠΈΠ΅ языки, Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ инструмСнты ΠΎΠ½ΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡŽΡ‚ ΠΈ ΠΊΠ°ΠΊ измСнился ΠΌΠΈΡ€ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с 2020 Π³ΠΎΠ΄ΠΎΠΌ. ΠœΡ‹ Π΄ΠΎΡ€Π°Π±ΠΎΡ‚Π°Π»ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡŽ ΠΈ Ρ€Π°ΡΡˆΠΈΡ€ΠΈΠ»ΠΈ Π³Π΅ΠΎΠ³Ρ€Π°Ρ„ΠΈΡŽ опроса -- Ρ‚Π΅ΠΏΠ΅Ρ€ΡŒ ΠΎΠ½ ΠΎΡ…Π²Π°Ρ‚Ρ‹Π²Π°Π΅Ρ‚ вСсь ΠΌΠΈΡ€. ΠžΡ‚Ρ‡Π΅Ρ‚ основан Π½Π° мнСниях 31 743 рСспондСнтов ΠΈΠ· 183 стран ΠΈ Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠ², большоС спасибо всСм участникам! Около Π΄Π²ΡƒΡ… тысяч ΠΎΠΏΡ€ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… программистов -- ΠΈΠ· России, ΠΈ это ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΠ΄Π΅Π»Π°Ρ‚ΡŒ Π²Ρ‹Π²ΠΎΠ΄Ρ‹ ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Π΅ΠΌ российский Ρ€Ρ‹Π½ΠΎΠΊ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ отличаСтся ΠΎΡ‚ ΠΎΡΡ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΌΠΈΡ€Π°. Π’ΠΎΡ‚ Π½Π΅ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ интСрСсныС отличия: -- РоссийскиС Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Ρ‡ΠΈΠΊΠΈ ΠΌΠΎΠ»ΠΎΠΆΠ΅, Π½ΠΎ ΠΌΠ΅Π½Π΅Π΅ счастливы. Π’ ΠΌΠΈΡ€Π΅ доля программистов ΡΡ‚Π°Ρ€ΡˆΠ΅ 40 Π»Π΅Ρ‚ составляСт 14%, Π° Π² России ΠΈΡ… 8%. Однако Ρ‚ΠΎΠ»ΡŒΠΊΠΎ 6% российских программистов ΡΡ‡ΠΈΡ‚Π°ΡŽΡ‚, Ρ‡Ρ‚ΠΎ ΠΎΠ½ΠΈ ΠΎΡ‡Π΅Π½ΡŒ счастливы, Π² Π΄Ρ€ΡƒΠ³ΠΈΡ… ΠΆΠ΅ странах - 21%. Π”Ρ€ΡƒΠ³ΠΈΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ ## 3 SHAREPOINT DEVELOPMENT TRENDS FOR 2025 DevFeed: [3 SHAREPOINT DEVELOPMENT TRENDS FOR 2025]() Original publisher: [Read original article]() Author: Neeraj Khosla Published: 2021-09-07T05:03:32Z Content type: article Language: en Sources: [Our Latest Backend Development Insights]() Topics: [Development](), [Microsoft](), [TypeScript](), [Framework](), [Cloud]() Tags: [backend-development](), [cloud](), [development](), [framework](), [microsoft](), [microsoft-365](), [server-side-development](), [sharepoint-development](), [sharepoint-development-company](), [sharepoint-development-services](), [trends](), [typescript]() ### AI overview This article discusses SharePoint development trends, including the move away from farm solutions toward add-ins, the use of SharePoint Framework and PnP, and SharePoint's expansion into cloud-based solutions. The supplied text contains inconsistent references to 2022 and 2025 and ends before the discussion is complete. ### Source excerpt With that stats in mind, let us understand the trends that are defining SharePoint development in 2025. Contact Orion eSolutions. The post 3 SHAREPOINT DEVELOPMENT TRENDS FOR 2025 appeared first on Orion. ## Row pattern recognition with MATCH\_RECOGNIZE DevFeed: [Row pattern recognition with MATCH\_RECOGNIZE]() Original publisher: [Read original article]() Author: Kasia Findeisen (kasiafi) Published: 2021-05-19T00:00:00Z Content type: article Language: en Sources: [Trino Blog]() Topics: [SQL](), [Regular expression](), [data]() Tags: [blog-post](), [pattern-matching](), [sql](), [syntax](), [trends]() ### AI overview This blog post introduces SQL row pattern matching with MATCH_RECOGNIZE, supported by Trino since version 356. It explains how regular-expression-like patterns can match sequences of table rows and produce detailed or summary information for later query processing. ### Source excerpt The MATCH_RECOGNIZE syntax was introduced in the latest SQL specification of 2016. It is a super powerful tool for analyzing trends in your data. We are proud to announce that Trino supports this great feature since version 356. With MATCH_RECOGNIZE, you can define a pattern using the well-known regular expression syntax, and match it to a set of rows. Upon finding a matching row sequence, you can retrieve all kinds of detailed or summary information about the match, and pass it on to be processed by the subsequent parts of your query. This is a new level of what a pure SQL statement can do. This blog post gives you a taste of row pattern matching capabilities, and a quick overview of the MATCH_RECOGNIZE syntax. ## The Web in 2020: On Extensibility and Interoperability DevFeed: [The Web in 2020: On Extensibility and Interoperability]() Original publisher: [Read original article]() Published: 2020-01-22T00:00:00Z Content type: opinion Language: en Sources: [Una Kravets]() Topics: [Web](), [interoperability]() Tags: [change](), [interoperability](), [trends](), [web]() ### AI overview The article forecasts extensibility and interoperability as two major goals for the web community in 2020, following recent changes in web technologies. ### Source excerpt In the past few years, we've seen a lot of change and diversion in regard to web technologies. In 2020, I foresee us as a web community heading toward two major trends/goals: extensibility and interoperability. ## Pirate Metrics: Making Money with Firebase DevFeed: [Pirate Metrics: Making Money with Firebase]() Original publisher: [Read original article]() Author: Parul Soi Published: 2017-02-03T00:00:00Z Content type: tutorial Language: en Sources: [Firebase Blog]() Topics: [Firebase](), [SDK](), [dashboards]() Tags: [admob](), [advertising](), [analytics](), [best-practices](), [e-commerce](), [firebase](), [google-analytics](), [growth](), [metrics](), [play-store](), [product](), [revenue](), [sdk](), [trends](), [tutorials]() ### AI overview This article explains how to use Firebase to track and improve revenue as part of the Pirate Metrics series. It covers automatic tracking for in-app purchases through a connected Play Store account, event tracking for E-commerce purchases, revenue dashboards and purchase-based audiences, and AdMob integration for analyzing advertising revenue and trends. ### Source excerpt News, tutorials, and updates from the Firebase team.