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As this year comes to a close, many experts have begun to look ahead to next year. Here are several predictions for trends in software development in 2026. Bennie Grant, COO of Percona The open source community continues the fight against restrictive relicensing It’s unclear if or when another open source company will change its license, but what’s become abundantly clear is how the community will react. Every time a company attempts to impose restrictions, developers and enterprises respond with innovation and collective action. Moving forward, the community will continue to create alternatives, influence licensing decisions, and ensure that openness and freedom remain the defining principles of the ecosystem. Transparency isn’t just a standard; it’s the bedrock of open source. Gloria Ramchandani, SVP of product at Copado Lines for dev roles will blur By 2026, the boundaries between traditional tech roles will blur. The days of rigid titles like “Developer” or “UX Designer” a...

OpenAI announces GPT-5.2 GPT-5.2 is optimized for professional knowledge work, scoring a 70.9% (using GPT-5.2 Thinking) on knowledge work tasks on the GDPval benchmark, compared to just 38.8% for GPT-5.1 Thinking. The company has started rolling out GPT-5.2 in ChatGPT today, with Instant, Thinking, and Pro modes, starting with paid plans. It is also available in the OpenAI API for all developers. “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision—making it better at executing complex, real-world tasks end-to-end than any previous model,” the company said. Google launches improved Gemini audio models Gemini 2.5 Flash Native Audio improves the model’s ability to handle complex workflows, navigate user instructions, and hold natural conversations. It is now available in Google AI Studio and Vertex AI, as well as being incorporated into Google’s user-facing products like Gemini Live and Search Live...

As AI coding assistants churn out ever greater amounts of code, the first – and arguably most painful – bottleneck that software teams face is code review. A company called Augment Code, which has developed an AI code assistant, yesterday announced a Code Review Agent to relieve that pressure and improve flow in the development life cycle. The codebases software teams are working with typically are large and messy, and AI models and agents have the fundamental problem of limited insight into the context of that code. According to Guy Gur-Ari, Augment Code co-founder and chief scientist, the company “spent the first year figuring that out. So, given a question or given a piece of code, how do you find the most relevant pieces of code from a repository that might have a million files or more, and how do you do it in a very performant manner?” Gur-Ari explained that a key differentiator from other code assistants is that the Code Review Agent works at a higher semantic level, making the...

Stack Overflow is following up its recent Developer Survey with a follow-up survey of 800+ developers to find out which development tasks are causing them the most frustration. The original survey found that 84% of developers use or planned to use AI in their development workflows, but that they often were frustrated when AI gives incorrect solutions, inspiring Stack Overflow to find out where developers are wasting time or getting frustrated, with or without AI. The company predicted that the frustration comes not from the AI tools themselves, but that tasks relying on good documentation have become more time consuming and frustrating. According to the results, developers are spending most of their time writing code; variable amounts of time on CI/CD pipelines, working on business use cases, and learning codebases; and the least amount of time is spent on deployments, documentation, catching up on messages, and task management systems. Stack Overflow noted that the area where dev...

The UI company Infragistics has announced that it is open sourcing over 50 of its Ignite UI components, spanning Angular, React, Blazor, and Web Components. According to the company, many of its components were already free to use, but making them open source provides developers with the opportunity to freely modify and extend them. It will also allow development teams to start off using the open source components and then move to the premium ones as needed. “We’ve been in the developer tools market for more than 35 years, and our UI components have powered applications across every industry. Open source allows us to give more back our growing community. With this transition, we aim to equip everyone ready to innovate, build beautiful user experiences, and provide custom solutions. Solutions that integrate seamlessly into enterprise environments, reduce development overhead, and ensure long-term stability,” the company wrote in a blog post . Some of the components that are now open ...

The Java vendor Azul has announced that it is acquiring Payara, a company that provides solutions for Jakarta EE-based applications. The two companies have been collaborating in various ways for the past eight years, starting in 2018 when Azul Platform Core became integrated into Payara Server Enterprise. According to Azul, by officially bringing Payara into its portfolio, it will be able to expand its market reach with new products tailored to enterprise Java. “This strategic acquisition is further testament to Azul’s commitment to support the needs of our global enterprise customer base,” said Scott Sellers, co-founder and CEO of Azul. “Payara delivers proven products that are naturally synergistic with our existing offerings and brings additional deep technical expertise to the world’s largest independent Java engineering team. Together, we will accelerate growth and innovation, expand our roadmap and deliver even greater value to our customers.” Steve Millidge, founder and CEO ...

SAN FRANCISCO —  Harness, the AI Software Delivery Platform company, today announced a $240 million Series E financing round. The financing round is comprised of a $200 million investment led by Goldman Sachs and a planned $40 million tender offer with participation from IVP, Menlo Ventures, and Unusual Ventures. This investment values Harness at $5.5 billion and reflects the accelerating demand for a unified, AI-native platform for software delivery. While AI is transforming how software is written, that work represents only the beginning of the engineering life cycle. Most teams spend just 30–40% of their time writing and iterating on code; the remaining 60–70% goes to the “outer loop” — testing, deployments, security, compliance, and optimization. These workflows are deeply interconnected and still highly manual, creating friction that slows velocity. Harness is bringing AI and automation to this outer loop, turning the most complex and time-consuming parts of software d...

Progress Software announced the latest releases of its Telerik and Kendo UI products, which both include an Agentic UI Generator that can create multi-component, fully styled, enterprise-grade page layouts. The Agentic UI Generator is currently available for Progress Telerik UI for Blazor, Progress KendoReact, and Progress Kendo UI for Angular. “With today’s release, AI-based code generation is now enterprise-ready, providing new horizons for UI development,” said Loren Jarrett, EVP and GM of digital experience at Progress Software. “Instead of simply generating code with AI that requires review and revision, with the Agentic UI Generator, developers can now build production-ready interfaces based on best practices from simply a prompt. This marks an important milestone—not just for Telerik and Kendo UI, but for how modern applications will be built going forward.” This release also introduces 12 new AI coding assistants for .NET and JavaScript, as well as new AI components, such ...

Spatial intelligence company Wherobots today announced the launch of a private preview of RasterFlow , a satellite image preparation and inference solution that will make it easier to gain insights from that type of data. “RasterFlow is a new compute engine that is going to help feed data about the physical world to all sorts of different types of applications, but then also make it so that we can process it and serve other applications as well,” said Ben Pruden, head of go-to-market at Wherobots. By streamlining this process, customers will be able to run AI models on physical world data to get answers to physical world questions, such as predicting fields and their boundaries from an overhead view of farmland. According to the company, most data teams don’t have the expertise or budget to build out the infrastructure needed for working with spatial data. For instance, a team looking to analyze wildfire state and predicted spread to manage risk to buildings would need to ingest and...

For too long, the barrier to entry for building even basic business applications has been artificially high. The requirements for front-end development have included expertise in React, CSS, and other disciplines, forcing organizations into a costly and inefficient hiring cycle. XMLUI was created to address this problem, designed for the “line of business app,” according to Jon Udell, a consultant and co-creator on the project. “I just have an app that is controlling some settings on my server, and monitoring who’s connected to my server… things like that. So that app is now written in XMLUI, and we’re kind of going through and refining it. That’s a nice dynamic, because, as you know, people try to do real things with XMLUI.” For building business apps, he said, it’s “just delightful” to not have to know about React to get the reactive behavior, or to not have to deal with CSS. The out-of-the-box XMLUI theme enables an app that looks professional and behaves gracefully. “This is not,...

Komprise , the leader in analytics-driven unstructured data management, announces the results of its annual industry survey. A whopping 85 percent of IT and data storage leaders are projecting an increase in data storage spend in 2026 while 74% are storing more than 5PB of unstructured data, a 57% increase over 2024, according to the Komprise 2026 State of Unstructured Data Management. Unstructured data is central to enterprises across industries. For example: A bank that wants to detect fraud beyond what traditional monitoring can catch might use customer emails and chat transcripts, both of which are forms of unstructured data. A hospital that wants to improve early detection for high-risk patients might need access to physician and nurse notes and medical images (unstructured data) in electronic health records. AI tools and apps also rely heavily on unstructured data. For example, an e-commerce company that wants to automate and improve its customer support experience might use...

The Linux Foundation today announced that it is forming the Agentic AI Foundation (AAIF) to promote transparent and collaborative evolution of agentic AI. Three major projects have been donated to the foundation at launch: Anthropic’s Model Context Protocol (MCP) , Block’s goose , and OpenAI’s AGENTS.md . Additionally, AAIF member Obot.ai will donate its MCP Dev Summit events and podcast to the foundation. MCP is a protocol developed by Anthropic that allows AI agents to access tools, data, and applications. It has been adopted by AI platforms like Claude, Cursor, Microsoft Copilot, Gemini, VS Code, and ChatGPT, and over 10,000 MCP servers have been created since it was open sourced in 2024. “Donating MCP to the Linux Foundation as part of the AAIF ensures it stays open, neutral, and community-driven as it becomes critical infrastructure for AI,” said Mike Krieger, chief product officer at Anthropic. “We remain committed to supporting and advancing MCP, and with the Linux Foundatio...

The domain name registrar name.com announced new integrations with several different development tool providers—Bolt, Netlify, Replit, and Vercel—to enable domain registration and setup to happen with developers’ existing tools and workflows. According to name.com, traditionally, domain registration has required developers to leave their workflow, leading to slower progress and increased complexity. By integrating its capabilities into popular development tools, name.com hopes to help product teams launch faster, reduce maintenance, and simplify their infrastructure. These latest partnerships feature custom integrations for each tool, ensuring that the name.com is adapting to the specific needs of each platform. For example, Vercel rebuilt its domain experience using name.com, which has allowed it to show hundreds of results at once, improve instance search performance, and optimize pricing to offer up to 50% savings on high demand top-level domains (TLDs). “We’re focused on making...

IBM has announced that it will be acquiring the data streaming company Confluent for $11 billion. Confluent is built on Apache Kafka, an open source data and event streaming platform that is used in analytics, monitoring, and event-driven architectures. The company has over 6,500 clients, including over 40% of the Fortune 500. IBM’s rationale behind the acquisition is that it believes that having real-time data capabilities has become critical in an era where data lives across a variety of IT environments. IBM also says that global data is expected to double by 2028 and over one billion new applications will be created, placing even more pressure on IT departments. Confluent’s capabilities will complement IBM’s Data and Automation portfolio; drive synergies across AI products and services, as well as consulting; and expand IBM’s go-to-market reach, IBM explained. “IBM and Confluent together will enable enterprises to deploy generative and agentic AI better and faster by providing ...

For all the capabilities enabled by advances in generative AI technology in the past few years, problems in the underlying architecture are holding it back in multiple ways. Counterintuitive AI is a company attempting to reinvent the AI reasoning stack to address those issues, and it believes that current LLM technology suffers from what the company calls the Twin Traps problem. Gerard Rego, founder of Counterintuitive AI, has spent a career spanning industry and academia, holding tech leadership positions at companies like Nokia, GM India, and MSC Software, as well as being a fellow at Stanford University, The Wharton School of Business at the University of Pennsylvania, and Cambridge University. He believes that the first trap of these Twin Traps relates to the fact that modern LLMs run on floating point arithmetic, which is designed for performance rather than reproducibility. With this mathematical foundation, every operation introduces rounding drift and order variance because...

Anthropic acquires Bun Bun is a JavaScript, TypeScript, and JSX toolkit, and Anthropic plans to incorporate it into Claude Code to improve performance and stability and enable new capabilities. “Bun is redefining speed and performance for modern software engineering and development. Founded by Jarred Sumner in 2021, Bun is dramatically faster than the leading competition. As an all-in-one toolkit—combining runtime, package manager, bundler, and test runner—it’s become essential infrastructure for AI-led software engineering, helping developers build and test applications at unprecedented velocity,” Anthropic wrote in a post . GPT-5.1-Codex-Max now available in OpenAI API GPT-5.1-Codex-Max is the company’s latest frontier agentic coding model, and it is faster, more intelligent, and uses fewer tokens than the base GPT-5.1-Codex. OpenAI also announced that developers can now delegate tasks from Linear to Codex. They can assign or mention Codex in an issue to trigger it, and then as...

As this year comes to a close, many experts have begun to look ahead to next year. Here are several predictions for how companies will manage their data in 2026. Sijie Guo, CEO of StreamNative A fundamental shift is happening in how we think about data engineering. For decades, data engineers prepared data for human consumption – analysts, data scientists, and business users. In 2026, AI agents will emerge as primary data consumers, and this changes everything. “Context engineering” isn’t just a rebrand – it’s a recognition that agents have different requirements than humans: they need fresh, streaming context delivered in milliseconds, not batch updates delivered overnight. The best data infrastructure companies will embrace this evolution, using their deep expertise in streaming, storage, and processing to solve genuinely new problems around agent-facing analytics and real-time context delivery. While the underlying principles of good data engineering remain constant, the applica...

Google is adding a Data Commons extension to the Gemini CLI to make it easier for developers to access and interact with publicly available data. Data Commons is a large library of public data from around the world, gathered from sources like the United Nations, the World Bank, and a number of government agencies. The new extension can be used to ask questions like “What are some interesting statistics about India?” or “Analyze the impact of education expenditure on GDP per capita in Scandinavian countries” directly in the CLI. The Gemini CLI framework also allows developers to utilize this extension with other data-related extensions, like the MCP Toolbox for Databases to compare public data with proprietary datasets, or Looker to create visualizations from Data Commons results. Additionally, because the Data Commons pulls from authoritative information sources, it can be used to ground or compare data to reduce hallucinations. A developer could, for instance, compare data returne...

Despite companies wanting to implement AI and reap the benefits of it, a majority don’t have the underlying foundations in place to make it work well. According to CData’s latest report, The State of AI Data Connectivity: 2026 Outlook, there is a clear link between data infrastructure maturity and AI maturity. The report found that 60% of the companies who have achieved AI maturity had invested in advanced data infrastructure, such as centralized, semantically consistent integration layers. One hundred percent of respondents agree that access to real-time data is necessary for AI agents, but 20% still lack real-time integration capabilities. Further, 46% of the organizations surveyed say that a single AI use case requires access to at least six different data sources. Additionally, AI-native software providers need three times more external integrations than traditional software companies. Finally, 71% of AI teams are spending at least a quarter of their time on “data plumbing” ra...

For product and engineering teams, building a competitive moat is one of the most critical aspects of your work. But in the age of AI, that moat can evaporate overnight. When AI upends your product roadmap, you might realize that you need to start from scratch. Your original solution is no longer viable, so you need to build a new, AI-native product that can compete over the long term in the new technology environment. This realization puts organizations in a tough position, particularly if they have contractual obligations with their existing customers. How do you balance your engineering resources to pursue AI innovation while also supporting your existing product? How do you decide when to pull the plug and go all in on an AI solution? One year ago, my engineering team faced this exact challenge. We knew that we needed to build a new AI product to replace our existing platform, but we also had to maintain our commitments to a customer base to maintain our existing revenue. Here’...