We used to treat Internal Developer Portals (IDPs) as a luxury. They were the domain of massive tech giants with resources to burn on internal tooling that was nice to have, but not exactly necessary. As we look toward 2026, the tides have changed and the IDP has clearly become table stakes for companies at all stages of growth.
For those unfamiliar, an IDP is a centralized platform that provides the shared tools, services, documentation, and self-service workflows (often called “golden paths”) that make it easy for development teams to build, test, and deploy their applications securely and reliably. By providing these paved roads, IDPs enable developers to focus on what they do best: building features and delivering value.
The complexity of modern software architectures, combined with the explosive adoption of AI coding assistants, has created a tipping point. Our recent Engineering in the Age of AI: 2026 Benchmark Report found that while AI is making teams faster (PRs per author up 20% year-over-year), quality is taking a hit without the right foundations. Incidents per pull request increased by 23.5%, and change failure rates are up approximately 30%. The teams thriving in this new reality have invested in strong engineering foundations like clear service ownership, robust incident management processes, and quality documentation. When you have hundreds of microservices, multiple cloud providers, and dozens of internal tools, the IDP becomes the platform that makes those foundations scalable.
But what does this actually look like in practice? Based on conversations with engineering leaders across hundreds of organizations, three critical use cases keep surfacing, which represent the operational realities that separate high-performing engineering teams from the rest.
Cutting incident response time when every second counts
When a critical service goes down at 2 AM, the person on call needs answers fast. Who owns this service? What are the dependencies? Where’s the runbook? If those answers live in someone’s head or buried in Confluence, you’re already behind.
Klaviyo’s engineering team faces one of the most intense stress tests in the industry during Black Friday and Cyber Monday. During these peak events, system reliability translates directly to revenue. By using Cortex, Klaviyo maintains a clear, real-time map of service ownership and dependencies. When seconds count, the IDP provides the situational awareness required to operate at extreme scale. There’s no fumbling through outdated wikis or pinging multiple Slack channels to find the right owner.
Similarly, H&R Block used Cortex to dramatically improve their incident response times. By centralizing service data and ownership information in their IDP, they reduced Mean Time to Resolve (MTTR) from up to 24 hours to less than one hour, and cut Mean Time to Acknowledge (MTTA) to under 10 minutes. Instead of fumbling through outdated wikis or pinging multiple Slack channels to find the right owner, on-call engineers have instant access to everything they need and can focus on remediation first.
The impact of an IDP doesn’t end at improved response times, though. A recent Total Economic Impact™ study by Forrester found that implementing a purpose-built IDP delivered a 224% ROI and boosted developer productivity by 20%. Teams also reduced the overall time required to deploy new software by 25%. When your platform provides instant access to ownership, dependencies, and operational context, both incident response and day-to-day velocity improve dramatically.
Enabling self-service without sacrificing security or compliance
Platform teams are drowning in tickets. Developers need access to new environments, services, and infrastructure, but every request requires manual approval and configuration. The backlog grows. Developers get frustrated. The platform team becomes a bottleneck instead of an enabler.
Not long ago, we wrote about how Archer realized its teams typically spent 9-12 months building services with no clear path to production. Each team handled infrastructure setup manually, leading to inconsistent configurations and missing operational requirements. By building standardized Workflows in Cortex that combine scaffolding, infrastructure, deployment configuration, and cloud resources into a single process, Archer now takes teams from concept to deployed service on Kubernetes in under 3 hours. What used to take days of manual setup is now automated, saving the company $72,000 across 30+ workflow runs in just three months.
The self-service approach Archer adopted becomes even more important with the rise of AI.
DORA’s 2025 State of AI-assisted Software Development report identified quality internal platforms as the key to scaling AI effectively. Their research shows that if your platform quality is low, adding AI tools yields negligible gains. A high-quality platform, on the other hand, acts as a force multiplier, ensuring that the speed you get from AI translates into value rather than just a faster way to ship bugs.
Accelerating large-scale migrations without losing control
Here’s a use case that looks deceptively simple at first glance. You need to migrate 3,000 database instances across multiple regions before an end-of-life deadline. You need to identify owners, track progress, and ensure nothing slips through the cracks. Spreadsheets and Slack threads won’t cut it.
This was the challenge that prompted Rapid7 to implement Cortex. When they needed to upgrade 3,000 RDS instances, Cortex identified the right owners, tracked progress in real time, and notified only affected developers with clear instructions and deadlines. What would have taken months with manual tracking was completed in under two weeks. Amanda Jackson, Program Manager at Rapid7, told us that having Cortex in place allowed them (finally) to see which instances were left and which teams were responsible for them.
Recent analyst research suggests that many more platform engineering teams will follow Rapid7’s lead. Gartner predicts that by 2026, 85% of platform engineering teams will adopt IDPs to streamline discovery and access. The firm warns that as microservices sprawl and toolchains fragment, the cognitive load on developers has become unsustainable. Manual tracking simply doesn’t scale.
The build vs. buy decision is no longer theoretical
Canva’s journey illustrates the trap many engineering teams fall into. Like many engineering-forward companies, they initially adopted Backstage, the open-source framework. But they quickly discovered that maintaining an internal platform is a full-time product job. Instead of focusing on shipping features for Canva users, their platform team was bogged down in maintaining the platform itself.
Gartner explicitly warns against misconstruing DIY frameworks like Backstage as “ready-to-use” portals, noting that this misunderstanding often leads to disillusionment when maintenance costs balloon. By moving to a purpose-built IDP, Canva shifted their focus back to their core mission: empowering their engineers, not maintaining infrastructure.
Co-founder & CTO at Cortex
Treat your platform like a shipping product
As we head into 2026, the assignment for engineering leaders has changed. You cannot treat your internal platform as a side project. It’s an internal product that requires the same level of care, investment, and strategy as the software you ship to your customers.
AI is accelerating the pace of development, but velocity without stability is a trap. The IDP is the structure that allows you to harness that speed safely. It is the difference between a chaotic feature factory and a high-performing engineering organization.
If you’re still managing your services in a spreadsheet, it’s time to upgrade. The future of your engineering culture depends on it.
Ready to see how Cortex can give you the solid foundation you need for 2026 and beyond? Learn more at www.cortex.io.
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