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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 AI in 2026. Ariel Katz, CEO of Sisense From agent hype to outcome accountability 2025 was the year agents exploded; 2026 is the year enterprises demand proof they actually work. After millions spent on tokens, tools, and experiments that never reached production, companies shift from buying AI components to buying measurable business outcomes. The winners will offer outcome-as-a-service – owning the workflow, the integration, the semantics, and the last mile – because customers won’t pay for agents. They’ll pay for certainty.   Andrew Sellers, VP of technology strategy and enablement at Confluent 2026 will see new protocols for multi-agent coordination and metadata exchange Two critical standards are likely to emerge in 2026 as AI operations become autonomous. First, as single-agent systems evolve into complex multi-agent teams, the industry needs a...

Due to time-to-market pressure and resource constraints, mobile app developers are shipping code that’s under-tested and under-protected. A recent Checkmarx report shows that the vast majority (81%) of organizations admit to knowingly shipping vulnerable code either sometimes or often. Maybe they know they have a problem and plan to fix it downstream. Or maybe they’re overconfident about their security approach. In the latter case, they have a problem nested inside another problem, like a Russian Doll. Whatever the justification, shipping vulnerable code is a precarious proposition. Right now, the mobile app landscape is experiencing increasing threat activity, an expanding attack surface, and greater risk to businesses. According to Verizon’s 2025 Mobile Security Index : 85% of organizations are seeing a surge in mobile attacks. 80% of organizations reported mobile phishing attempts targeting their employees. 43% of organizations cited mobile app threats as the top contributor t...

Anthropic makes Skills an open standard Skills—a capability that allows users to teach Claude repeatable workflows—was first introduced in October, and now the company is making it an open standard. “Like MCP, we believe skills should be portable across tools and platforms—the same skill should work whether you’re using Claude or other AI platforms,” the company wrote in a blog post. Additionally, the company announced a directory of pre-built skills from companies like Notion, Canva, Figma, and Atlassian. Other new features, which vary by plan, include the ability to provision skills from admin settings and easier methods for creating and editing skills. OpenAI GPT-5.2-Codex released This is a version of GPT-5.2 that is optimized for the company’s coding agent Codex. It includes “improvements on long-horizon work through context compaction, stronger performance on large code changes like refactors and migrations, improved performance in Windows environments, and significantly st...

SAN FRANCISCO — Install Aware Software, the technology leader in software installation, repackaging, and virtualization solutions for app developers and enterprises, has launched Install Aware X18. Install Aware is the most flexible platform for traditional and agile development teams creating Linux, macOS, Windows and Azure software installers; as well as MSIX, APPX, App-V Virtualization, and agentless/royalty-free Install Aware Virtualization packages. Install Aware X18 empowers friction-free ecommerce by enabling install-time sales of software for Solana cryptocurrency. To buy a product they are setting up, end-users simply input their Solana Wallet’s private key directly into the setup wizard. No jarring external user interface is shown at any time. Install Aware ’s Solana Payment System then converts fiat (USD) currency to SOL based on the latest live exchange rate, attempting to transfer funds from the buyer account to the seller account (typically in three seconds or less)...

AI promised to simplify project management. In practice, it often did the opposite. Instead of fewer tools and clearer execution, teams now juggle “AI add-ons” layered onto fragmented chat platforms, task trackers, and reporting systems that were never designed to work together. The result is familiar: constant context switching, duplicated effort, and project managers spending more time “managing the tools” than delivering outcomes. This fragmentation is the real problem  AI project management  must solve.  Bitrix24  approaches it differently. Rather than treating AI as a third-party plugin, it embeds intelligence directly into the project lifecycle—from initial scoping to automated reporting—within a single, unified workspace. The goal is not to replace people or overwhelm teams with automation, but to remove friction where it slows delivery and decision-making. Bitrix24 provides a foundation of core project management features designed to overcome the traditio...

Google has announced the release of Gemini 3 Flash, its latest frontier model designed for speed at a lower token cost. According to Google, this model is ideal for iterative development, as it is able to quickly reason and solve tasks in high-frequency workflows. It also outperforms all Gemini 2.5 models as well as Gemini 3 Pro in coding capabilities on SWE-bench Verified. Additionally, due to its strong performance in reasoning, tool use, and multimodal capabilities, it is ideal for tasks like complex video analysis, data extraction, and visual Q&A, enabling more intelligent applications that demand advanced reasoning and quick answers, like in-game assistants or A/B test experiments. Gemini 3 Flash is now available for developers in the Gemini API through Google AI Studio, Gemini CLI, and Google Antigravity. It’s also available in the Gemini app, AI Mode in Search, Vertex AI, and Gemini Enterprise. “With Gemini 3, we introduced frontier performance across complex reasoning, ...

The dominant story of 2025 – one that infused new challenges and opportunities for software development, delivery, security, testing, observability and more – was the rapid, widespread adoption of artificial intelligence. Organizations have been kicking the tire on AI for the past several years, but 2025 saw an explosion of AI-powered offerings all along the software development life cycle. We’ll take a look back on how AI impacted and disrupted every corner of technology, and in a separate series of 2026 prediction articles, we’ll look at what industry leaders see for the coming year. AI in Software Development They can be called copilots; they can be called coding assistants, but no fewer than 15 companies this year introduced AI tools that can generate code much more quickly than humans can write. The downside? These assistants often hallucinated when they couldn’t come up with an answer, and stressed developers by overwhelming them during code reviews to ensure the code met bus...

Enterprises are waking up to a hard truth. AI won’t transform their business with a flashy demo. It takes infrastructure, governance — and engineering. For the past two years, AI has headlined every keynote and dominated boardroom conversations. But the tone is shifting. Tech stocks are cooling, AI teams are restructuring, and studies from MIT and McKinsey show that even ambitious pilots often stall in production. Some see signs of a cooling AI market. I see something more productive: a long overdue dose of realism. We’re finally trading hype for hard engineering — and that’s exactly what AI needs to evolve and scale. A healthy dose of realism for AI After ChatGPT’s debut, a dominant narrative took hold that Artificial General Intelligence was just a few years away. Predictions swung between utopia and apocalypse. Either half the workforce would vanish, or machines would outthink us entirely. Governments rushed to regulate, investors poured in, and for a moment it seemed like AI...

Docker has announced that it is open sourcing its catalog of over 1,000 Docker Hardened Images (DHI) , which are production-ready images maintained by Docker to reduce vulnerabilities in container images. Each image includes a complete software bill of materials (SBOM), transparent public CVE data, SLSA Build Level 3 provenance, and cryptographic proof of authenticity. Available under the Apache 2.0 license, DHI is built on Debian and Alpine, allowing anyone to adopt the images without lock-in and with minimal changes to their existing workflows, Docker explained. According to the company, the main impetus behind deciding to open source the DHI catalog was to enable everyone from maintainers to hobbyists to governments to gain access to these secure images without restrictions. “Today’s announcement marks a watershed moment for our industry. Docker is fundamentally changing how applications are built-secure by default for every developer, every organization, and every open-source p...

Zencoder is introducing its Zenflow desktop app in an attempt to help development teams transition from vibe coding to AI-First Engineering. According to the company, AI coding has hit a ceiling due to LLMs producing code that looks correct but fails in production or gets worse as it is iterated on. Zenflow introduces an AI Orchestration layer to turn “chaotic model interactions into repeatable, verifiable engineering workflows.” This orchestration layer is based on four pillars: Structured AI workflows that follow a Plan > Implement > Test > Review cycle Spec-driven development, where agents are anchored to technical specifications Multi-agent verification, leveraging model diversity to reduce blind spots, such as having Claude review code written by OpenAI models Parallel execution of multiple models running at the same time in isolated sandboxes Zencoder’s internal testing of Zenflow found that it improved code correctness by an average of 20%. “Chat UIs were fin...

Runtime testing platform provider StackHawk today announced it is adding BLT (Business Logic Testing) to its AppSec menu. This new testing capability addresses business logic flaws such as broken object level authorization (BOLA) that an OWASP report said account for 34% of security breaches, the company said in its announcement. The new functionality was built for AI, in that it can identify BOLA and broken function level authorization security concerns that SAST and DAST tools cannot. The only option for AppSec teams has been to do manual penetration testing, but that can’t keep up with the speed of modern software development. With pen testing, a surface scan is run to spot obvious problems, but to make associations – does this go with this – is expensive, and with the speed of today’s software iteration cycles, testers could face burnout. “What’s exciting about what AI is enabling us to do is take that kind of human brain of what is this API supposed to be doing, this application...

Google has announced a new project that aims to leverage generative AI to build contextually relevant UIs. A2UI is an open source tool that generates UIs based on the current conversation’s needs. For example, an agent designed to help users book restaurant reservations would be more useful if it featured an interface to input the party size, date and time, and dietary requirements, rather than the user and agent going back and forth discussing that information in a regular conversation. In this scenario, A2UI can help generate a UI with input fields for the necessary information to complete a reservation. “With A2UI, LLMs can compose bespoke UIs from a catalog of widgets to provide a graphical, beautiful, easy to use interface for the exact task at hand,” Google wrote in a blog post . Google had previously created the Agent-to-Agent (A2A) protocol to allow agents to collaborate without needing to share memory, tools, or context, however the decentralization that it creates leads ...

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...