platform engineering
11 stories filed under platform engineering on Beyond Market Intelligence. The newest of them: “Treat AI agents as infrastructure to stop hallucinations at scale”, “From Engineer to Founder: Gonzalo Maldonado's Lessons on Navigating Startup Success”, and “AI-Powered Engineering: How Platforms Can Adapt and Empower Developers”. Hallucinations in AI agents aren't a bug to fix in each app; they're a symptom of treating the LLM stack like an application. Gonzalo Maldonado argues that engineers don't need to unlearn their technical instincts to succeed as founders, they need to translate them. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every platform engineering story on Beyond Market Intelligence, newest first.
Treat AI agents as infrastructure to stop hallucinations at scale
Hallucinations in AI agents aren't a bug to fix in each app; they're a symptom of treating the LLM stack like an application. Aditya Mulik's experience with an inventory recommendation system led him to a smarter approach: treat the LLM as shared infrastructure. By building a common platform with prompt versioning, schema enforcement, and per-request cost attribution, his team stopped hallucinations at scale. It's a practical, infrastructure-first mindset. For more on reducing AI costs, see our piece on smarter data structuring with SerpApi.
From Engineer to Founder: Gonzalo Maldonado's Lessons on Navigating Startup Success
Gonzalo Maldonado argues that engineers don't need to unlearn their technical instincts to succeed as founders, they need to translate them. His "VC Abstraction Layer Knowledge" (VALK) framework reframes pitching as structured documentation and treats product-market fit as a solvable problem. This is practical, hard-won advice for a post-ZIRP world, especially his insights on evaluating internal tools as commercial ventures. If you're a technical leader weighing the leap, start here.
AI-Powered Engineering: How Platforms Can Adapt and Empower Developers
Platform teams are no longer just infrastructure keepers. They are the ones deciding how AI-assisted engineering actually takes shape. In this discussion, Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, and Renato Losio get into the real trade-offs: where standardization helps, where it stifles, and how to build guardrails without strangling developer autonomy. It is a practical look at shifting workflows. For a deeper angle on how AI changes the skills we expect, check out "Navigating AI/ML Job Requirements."
Rightsizing Developer Platforms to Reduce Cognitive Load and Accelerate Delivery
Platform engineering is rarely a one-size-fits-all equation. John Keates tackles the real friction behind modern developer platforms: the cognitive load that shift-left practices have quietly piled onto teams. He focuses on rightsizing, not just building more. It's a practical look at matching your platform to your culture, not the other way around. For those exploring how AI tools fit into everyday workflows, our guide to unlocking ChatGPT for work offers a useful starting point.
VentureBeat expands enterprise AI analysis with new lead analyst hire
VentureBeat is doubling down on enterprise AI research with the appointment of Rob Strechay as its first Lead Analyst. Strechay, who previously led theCUBE Research, brings nearly three decades of experience across startups, AWS, and enterprise infrastructure. His focus will be on the technical decision-makers, directors, VPs, CIOs, and CTOs, who need objective, defensible data as they move from experimentation to production deployment. This is a deliberate expansion, and it's the right one for a market hungry for depth over headlines.
Fleet-wide container security starts with a single hardened builder
The container security control point is moving. Cloud Native Buildpacks, which graduated within the CNCF in July 2026, pull base image selection out of per-service Dockerfiles and place it into a single builder owned by platform engineering. That shift enables fleet-wide patching without touching individual apps. BellSoft's hardened Paketo builder shows vendors now treat the builder as the security boundary. It is a practical response to a real operational problem. For more on how the ecosystem is adapting, our coverage of Kubernetes 1.
Mature platform engineering unlocks sustainable AI value for enterprises.
Perforce's 2026 Platform Engineering Report makes one thing clear: maturity in this space now separates AI experiments from operational wins. The report's findings suggest organizations that treat platform engineering as a strategic discipline are better positioned to turn AI adoption into lasting value. That's a practical, grounded perspective we can get behind. For a related look at how AI behaves in practice, our piece "Talking to My AI Clone Taught Me to Question the Tech" offers a useful counterpoint worth exploring.
Explore how internal platforms reduce cognitive load for microservices teams.
Microservices deliver real value only when teams can sustain their pace, and Chris Richardson's presentation gets straight to that challenge. He pairs Team Topologies with internal platforms to cut through complexity, focusing on six concrete patterns, from security to deployment, that keep stream-aligned teams moving. The payoff is a clear strategy for shrinking cognitive load while sidestepping the usual platform traps. It's a practical, grounded take on acceleration. For more ways to simplify technical workflows, our guide, "Unlock ChatGPT for Work," offers a useful parallel.
Empathy and focus transform compliance from burden to shared success.
Forced workflows and thin documentation nearly derailed one platform team's roadmap. The lesson wasn't about tightening control; it was about loosening it. By simplifying governance and focusing on prevention over policing, they turned compliance into a shared habit rather than a hurdle. Empathy drove adoption, not mandates. This is a practical reminder that developer experience and regulatory needs can coexist. For more on easing technical friction, our guide on unlocking ChatGPT for work offers a similar shift toward accessible tooling.
Build platforms people love by focusing on outcomes, not just code.
Platform engineering often fails before the code is written, and Max Körbächer knows why. In this session, he argues that successful internal developer platforms can't be built on infrastructure alone. He pushes back on that tech-first instinct, steering us toward a genuine product mindset and practical metrics like DevEx and SPACE to measure what actually matters. For anyone wrestling with adoption or tech debt, this talk offers a clear-eyed path forward.
Build Platforms Developers Embrace and Business Leaders Champion
Platform teams know the frustration: build something impressive, watch developers ignore it. Lucas Hornung and Christian Matthaei tackled this head-on, offering lessons that feel refreshingly practical. Their advice is direct, get visible to management, listen to stakeholders, and measure what matters with DORA metrics. Make the hidden pain personal, and suddenly the value becomes undeniable. It is a human-centered approach to a technical problem, and that is exactly why it works.