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7 best AI deployment platforms for production Kubernetes workloads in 2026

Training a model in a notebook is easy. What breaks teams is the step after, serving it reliably without haemorrhaging cloud budget or burying your SREs in YAML. The common trap: picking a platform that handles the model but not the surrounding stack. An AI deployment platform should orchestrate the full application graph (inference endpoints, vector databases, caching layers, and frontends) inside a single VPC, with GPU autoscaling that doesn't require a dedicated platform engineer to babysit.

From PR to Production Without Leaving Your Cursor IDE | Harness Blog

TLDR: Today, Harness is introducing the Harness Cursor Plugin, bringing the power of the Harness AI-native software delivery platform directly into Cursor. This integration, along with the Harness Secure AI Coding hook for Cursor, allows developers and AI agents to move from code changes to vulnerability detection, CI/CD execution, security validation, approvals, deployments, and operational insight without leaving the editor. AI has completely changed how we write code.

AI writes the code. Who delivers it safely? | Harness Blog

The question for enterprise AI in 2026 is no longer just which model. It’s which harness. An agent harness is the system around the model. It decides what the agent remembers, what context it sees, what tools it can call, what it is allowed to do, and what happens when it is wrong. The model provides intelligence. The harness provides control. This is where the real engineering is happening.

Moving On From MCP: How We Built the Bindplane AI Skill

If you've spent any time wiring AI coding agents into developer platforms over the last year, you've probably reached for MCP. We did too. And after enough sessions watching context windows balloon and tool calls misfire, we started looking for something different. This is the story of what we built instead — a native AI skill for the Bindplane CLI — and the engineering decisions behind it.

Bindplane Now Ships With a Native AI Skill - Bring Your Own Agent

Today we're rolling out the Bindplane AI Skill, a built-in capability of the Bindplane CLI (v1.98+) that teaches your favorite AI coding tool how to work with Bindplane — natively, accurately, and without the setup headaches of traditional integrations. Read Part 2 of the Bindplane AI Skill series to learn more about how we built it and how it works with real-life examples.

Why Australian Brands Are Upgrading Their Search Strategies With Machine Learning

The digital landscape in Australia is evolving at an unprecedented, rapid pace. For years, local businesses and enterprise brands alike relied on traditional search engine optimisation techniques to capture organic traffic, generate leads, and build online visibility. However, as search algorithms become increasingly sophisticated, these standard, manual practices are no longer sufficient to secure a lasting competitive edge in crowded markets. Today, machine learning is fundamentally rewriting the rules of digital marketing and shifting how websites are ranked.

Investor Sergey Tokarev on the Generation H 3.0 HealthTech Accelerator

The Generation H accelerator programme, run by SET University and the Tokarev Foundation, has announced the launch of its third intake. For the first time in its history, this HealthTech accelerator, which specialises in medical technologies, has expanded the list of teams eligible to participate. Ukrainian startups based abroad that have an MVP or a product ready to scale within ten weeks can now join the programme. This was announced by Sergey Tokarev, founder of the Tokarev Foundation and co-founder of SET University.

UnoSearch on B2B AI Search Visibility Decline in 2026

B2B tech brands are quietly losing AI search visibility in ways their dashboards do not capture. The pipeline feels thinner. Sales teams are hearing competitor names they did not hear six months ago. Demo requests are flat or down. None of these symptoms maps cleanly onto a traditional pipeline problem, because what changed is not inside the channels marketing teams have been measuring. AI agents now mediate a growing share of B2B research and shortlisting behaviour, and most enterprise marketing programs have not adjusted their foundation for this shift.