Context Is the New Core: How AI Is Transforming Software Testing

Posted on November 19th, 2025

In this episode, Chris dives deep with Alex from Katalon to unpack one of the most overlooked, and transformative, ideas in modern software quality: context.

Testing has always chased automation, faster execution, broader coverage, fewer errors. But as Alex explains, AI is forcing the industry to confront a bigger truth: automation without context doesn’t equal intelligence. The real leap forward isn’t just in speeding up scripts; it’s in giving AI the full situational awareness it needs to understand what to test, why to test it, and how to validate real-world behavior.

Alex breaks down how Katalon is infusing context at every stage of the QA lifecycle, from requirements to regression to production feedback. AI agents can now:

Interpret user stories and automatically design relevant test cases.
Correlate requirements, environments, end-user behavior and code changes (soon) to pinpoint which areas need testing.
Leverage production data to reveal how users actually experience new features versus how the business intended them.
Close the loop between development, testing, and user experience, turning quality from a static checkpoint into a living, continuous feedback system.

They also discuss how this contextual foundation enables Katalon “LLM-as-a-judge” approach, using multiple AI models to cross-evaluate results for accuracy and reliability, and why this is key to achieving trustworthy, deterministic outcomes in a nondeterministic AI world.

By the end, it’s clear that context isn’t just an enhancement to testing, it’s the new quality framework. It connects AI reasoning, automation, and real user experience into a unified view of software readiness.

Unprompted Podcast: Dual action modality

Posted on November 7th, 2025

In this episode of Unprompted, Chris du Toit speaks with Jordan Woods, CEO of Visily, about the intersection of AI and design. They explore the nuances of vibe designing versus vibe coding, and the role of AI in enhancing design processes. The conversation delves into the importance of context in AI applications, the need for guardrails in AI-driven design, and the evolving relationship between AI and creativity. Jordan shares insights on the current state of LLMs and emphasizes the importance of maintaining fundamental design principles amidst rapid technological advancements.

We cover:

Vibe designing emphasizes aesthetics, while vibe coding focuses on function.
AI can unintentionally make users less intuitive in their workflows.
Context is crucial for effective AI and design integration.
Guardrails in AI-driven design help maintain quality and collaboration.
AI can empower non-technical users to create designs.
Incremental improvements in AI can lead to regressions in functionality.
Designers should focus on creative tasks rather than repetitive ones.
AI should complement, not replace, human creativity.
Maintaining fundamental design principles is essential in a rapidly changing landscape.

To learn more:
What is Vibe Designing?
Action-Modality Match: The Future of Multimodal AI Design

Introducing the Tabnine Agentic Platform

Posted on November 4th, 2025

Introducing Tabnine Agents: Org-Native AI for the Enterprise

Today, we’re thrilled to announce the launch of Tabnine Agents — a breakthrough in AI-powered software development designed from the ground up for the enterprise.

Unlike generic AI copilots that work in isolation, Tabnine Agents are Org-Native. They plan, execute, and validate complete development workflows fully aligned with your organization’s codebase, policies, and tools. That means real automation you can trust, not just autocomplete.

Built on Context. Powered by Control.

At the heart of every Tabnine Agent is our Enterprise Context Engine, a secure orchestration layer that gives your AI the context it needs to make accurate, policy-compliant decisions — without ever exposing your source code.

With Tabnine Agents, organizations can:

Automate multi-step workflows like refactoring, debugging, and documentation
Enforce coding standards and compliance across teams
Adapt instantly to new repositories, languages, or policies — no retraining required
Deploy anywhere: SaaS, private VPC, on-premises, or even air-gapped
Maintain full governance, usage visibility, and cost control

And with our fair pricing model, you choose your LLM and pay only for what you use — no hidden markups, no lock-in.

See the Agents in Action

Join us for our upcoming live webinar: “Beyond Autocomplete — How Agentic AI Is Rewriting Enterprise Software.”

You’ll see real-world demos of Tabnine Agents in enterprise environments, hear directly from our product team, and learn how to bring autonomous, governed AI into your own development workflow.

👉 Register now to save your spot →

The Future Is Org-Native

AI can generate code — but it takes context to understand your organization.

With Tabnine Agents, that context finally becomes actionable.

This is the next evolution of enterprise software development.

And it’s happening now.