Why Enterprise AI Demands More Platform Engineering, Not Less | Weave Intelligence
Boyan, CTO at Sixt, says the company’s product and engineering organization totals about 800 people and builds over 95% of its core software in-house across hundreds of countries. Over the past decade Sixt has invested in broad platform engineering—MLOps, developer self-service and heavy automation—to remove cognitive load from product teams, reduce fragmentation, and speed time-to-production. The platform now supports thousands of non-engineering “builders” from business units and has doubled down on AI tooling in the past year to manage rapidly evolving engineering practices. The goal: centralize plumbing, cut costs, and let product teams focus solely on customer-facing features rather than infra and deployment toil.
Meet Unify: Governed AI That Knows Your Delivery
CloudBees product leader Sander introduced Unify, a governed AI control plane designed to consolidate context across the fragmented software delivery toolchain so teams can answer operational questions like “are we safe to ship?” He framed the problem as rising delivery...
Observability at the Edge: OpenTelemetry Maturity of Kubernetes Ingress
The webinar focused on observability at the edge, specifically evaluating OpenTelemetry maturity in Kubernetes ingress controllers and gateways. Casper highlighted how ingress points act as the first observable span for every request, making them critical for capturing traces, logs, and...
Operationalizing AI Agents in Regulated Industries for Scale and Safety
The video is a brief, informal vlog in which the presenter discusses a few recently read books, highlighting one thriller that kept them on edge and featured a surprising twist. The host teases the ending without spoilers and conveys enthusiastic...
Beyond Kubernetes: Pragmatic Platform Engineering for 2026 with Kelsey Hightower
The webinar, titled “Beyond Kubernetes: Pragmatic platform engineering for 2026,” brings together Broadcom’s VCF team, VMware veteran Jad, and cloud‑native evangelist Kelsey Hightower to dissect the real‑world challenges of platform engineering. Rather than a polished sales pitch, the discussion focuses...
What Is Infrastructure Platform Engineering?
The video introduces infrastructure platform engineering (IPE) as the emerging specialization within platform engineering that treats infrastructure as an internal product rather than a set of ad‑hoc services. IPE addresses the chaos of multicloud, hybrid, and Kubernetes‑heavy environments by delivering standardized,...
What Does a Platform Engineer Do?
The video defines platform engineering as a distinct discipline focused on building internal products for developers rather than merely operating infrastructure. Mallerie emphasizes that platform engineers act as product builders whose customers are the organization’s engineering teams. Core responsibilities include creating...
AI Benchmarks: What Jellyfish Learned From Analyzing 20 Million PRs
Jellyfish analyzed telemetry from 1,000 customers — covering about 200,000 developers and 20 million pull requests — to benchmark AI adoption and impact in software engineering. The company links IDE and agent usage (e.g., Copilot) to task and source-control data...
AI Success Is About Learning Not Output | Platform Engineering Meetup Highlight
The Platform Engineering meetup highlighted a shift in AI strategy: success hinges on continuous learning rather than sheer output volume. Speakers warned that the industry’s rush to “move at AI speed” must be tempered by robust safety and security practices,...
CI/CD Migration with AI Is Where the Money Is
Organizations are wrestling with a tangled web of legacy CI/CD tools—often ninety or more—while striving to shift to modern platforms such as Harness or GitHub Actions. The speaker highlights that AI‑driven migration tools can read existing pipelines and automatically generate...
Why Most Migrations Fail: The Untold Costs Impacting Platform Teams
The panel discussion tackled the persistent problem of platform migrations that fall short of expectations, emphasizing that modernization is not synonymous with a simple tool swap. Laura and AJ highlighted how enterprises chase a “silver‑bullet” migration narrative, only to encounter...
What OpenClaw Means for Platform Engineering: AI, GitOps & Agent Chaos
In the latest Weave Intelligence interview, Artem Lajko explains how OpenClaw is turning platform engineering into an AI‑driven GitOps engine. The discussion highlights the emergence of "vibe ops"—agentic coding that automates infrastructure changes at unprecedented speed. Lajko warns that AI‑defined...
Platform Engineering ROI: Everything You Need to Know
The video tackles the perennial funding challenge faced by platform engineering teams: proving return on investment. It argues that ROI should be framed not as a simple cost‑vs‑savings equation, but as a measurable shift in developer behavior, delivery speed, and...
Silos Are Fantastic. Just Ask Kelsey Hightower.
The video features Kelsey Hightower arguing that silos, when mediated by APIs, are beneficial rather than harmful. He challenges the prevailing push for universal collaboration and self‑service across all layers. He explains that platform teams should provide stable, well‑defined contracts, allowing...
Domain-Driven Platform Engineering Is the Future | Weave Intelligence
The video explores how domain‑driven design (DDD) is reshaping platform engineering, arguing that future internal developer platforms must be built around business domains rather than generic infrastructure abstractions. AJ Chunkermath explains that traditional platform teams often deliver one‑size‑fits‑all services, which...