Systems | Development | Analytics | API | Testing

We are in the middle of the fastest acceleration in software development that the industry has ever seen. Thanks to highly capable models from technology leaders like Anthropic and OpenAI, we have entered the era of vibe coding—a world where developers describe what they want in natural language and get working software in return.

If you are like most enterprise leaders, you are managing a sprawling estate of hundreds—or even thousands—of disjointed legacy applications built on outdated frameworks, consuming an estimated 55% to 80% of your IT budget just to "keep the lights on." This legacy drag stifles innovation. Yet the traditional answer—"rip-and-replace"—often makes things worse. Multi-year, high-risk projects that rewrite everything from scratch can be catastrophic.

Appian’s latest updates deliver powerful new tools to consolidate legacy systems, automate complex knowledge work, and scale data integration. Modernization projects are notoriously high risk, but Composer derisks the start of your journey by ensuring total stakeholder alignment before development begins.

The benefits of low-code development are well-documented: lower IT costs and greater business agility, being among them. Yet despite all the good press, many organizations are wondering if low-code development is worth all the hype. There's also pushback from data engineers and developers who believe that low-code software will take their places within organizations- which isn't the case. Underneath all the opinions, what does low-code development really bring to your business?

IT leaders today are in a high-stakes gridlock between the pressure to invest in new AI solutions and legacy systems that aren’t equipped to support them. With the pace of work today, long modernization projects are often untenable. They disrupt your workflows. They use up your team’s resources. And they sometimes fail to deliver results. So how do successful organizations move forward? They rethink their approach.

Astera Centerprise is already one of the most AI-forward data platforms available. Its built-in agentic AI creates data models, builds ETL/ELT pipelines, generates source-to-target mappings, orchestrates workflows, prepares data, and deploys schemas to production, all through natural language. You describe what you need; the AI uses real Centerprise tools to build it.