# failure modes (blogs) — RSS Amplifier Recent posts from the 4 feeds in the RSS Amplifier directory that cover failure modes. Page: Feed: --- ## [Platform Engineering in 2026: The State of the Practice, the Gaps Nobody Talks About, and What Comes Next](https://omps.in/platform-engineering-2026-state-of-practice/) _2026-08-15 · Om Prakash Singh · Om Prakash Singh_ Platform engineering has matured from a buzzword into a recognised discipline over the last three years. Here is an honest assessment of where the practice actually is in 2026 — what's working, the gaps that practitioners are glossing over, and the three shifts that will define platform engineering over the next two years. ## [Tokenmaxxing And Return-On-Tokens](https://labs.adaline.ai/p/tokenmaxxing-return-on-tokens) _2026-08-15 · Nilesh Barla · Adaline Labs_ Learn why AI teams are moving from tokenmaxxing to cost per accepted outcome, and how product leaders and engineers should allocate AI intelligence efficiently. ## [Running Agentic Workloads on Kubernetes: Network Policies, Resource Quotas, and the Security Model You Need](https://omps.in/agentic-workloads-kubernetes-security-model/) _2026-08-08 · Om Prakash Singh · Om Prakash Singh_ Agentic AI workloads have a threat surface that standard Kubernetes security models weren't designed for: wide egress requirements, dynamic tool invocation, and the potential for autonomous actions that cross trust boundaries. Here is the security architecture — network policies, RBAC, resource quotas, and audit logging — that actually contains them. ## [How The Product Role Is Moving To Building And Verification](https://labs.adaline.ai/p/product-role-building-verification) _2026-08-08 · Nilesh Barla · Adaline Labs_ As AI speeds up execution, product leaders must focus more on product verification, evidence, judgment, and what is worth shipping. ## [Building a 70-Person Engineering Team Across Four Countries: The Operating Model That Actually Works](https://omps.in/building-70-person-engineering-team-global/) _2026-08-01 · Om Prakash Singh · Om Prakash Singh_ After several years of running a 70-person infrastructure engineering team across India, the UK, the US, and Singapore, here is the operating model that works: hiring principles, team topology, decision protocols, on-call design, and the two things that make or break distributed engineering teams at scale. ## [Eval-First Product Design For Frontier AI Products](https://labs.adaline.ai/p/eval-first-product-design-frontier-ai-products) _2026-07-31 · Nilesh Barla · Adaline Labs_ Eval-first product design treats the evaluation suite as the product specification. A five-move operating pattern for frontier AI PMs. ## [Terraform vs Ansible vs Pulumi in 2026: The Honest Comparison for Enterprise Platform Teams](https://omps.in/terraform-ansible-pulumi-2026-comparison/) _2026-07-25 · Om Prakash Singh · Om Prakash Singh_ The IaC tool debate has moved on from religious arguments to practical questions: which tool for which problem, at which team maturity level, with which operational constraints? Here is the honest comparison — strengths, real failure modes, and when each tool is the wrong choice for enterprise platform teams. ## [What Product Leaders Should Stop Doing Now That AI Can Do It](https://labs.adaline.ai/p/what-product-leaders-should-stop-doing) _2026-07-25 · Nilesh Barla · Adaline Labs_ A practical framework for removing low-leverage work without outsourcing judgment. ## [Building a Continuous Patching Pipeline with Ansible Lightspeed: From CVE to Deploy in Under 4 Hours](https://omps.in/continuous-patching-pipeline-ansible-lightspeed/) _2026-07-18 · Om Prakash Singh · Om Prakash Singh_ The patch-to-exploit window is now hours. A 30-day patch cycle is no longer defensible. Here is the complete pipeline — CVE ingestion, Ansible Lightspeed playbook generation, staging validation, ring-based production deploy — that gets critical patches out in under 4 hours without breaking production. ## [What Is An Agentic Stack, And Why Does It Matter More Than the Model?](https://labs.adaline.ai/p/what-is-an-agentic-stack) _2026-07-18 · Nilesh Barla · Adaline Labs_ An agentic stack routes work, controls context, permissions, verification, and approval, and matters more than the model powering it. ## [Fast, secure international transfers (Sponsored)](https://crawlproof.com/a/fRQHtzgJFNjo) _2026-07-18 · **Sponsored**_ Bank transfer, cash pickup, mobile wallet — low fees and real-time tracking ## [OpenTelemetry in Production: The Setup Nobody Shows You for High-Volume Trading Systems](https://omps.in/opentelemetry-production-high-volume-trading/) _2026-07-11 · Om Prakash Singh · Om Prakash Singh_ The OTel setup in tutorials is not the setup that works at high transaction volumes in regulated environments. Here is the collector architecture, sampling strategy, cardinality budget, and compliance constraints that shape a production deployment for financial workloads. ## [What Is Loop Engineering, and Who Owns It?](https://labs.adaline.ai/p/what-is-loop-engineering-for-ai-agent) _2026-07-11 · Nilesh Barla · Adaline Labs_ The loop engineer owns an AI agent's runtime. Three primitives, five maturity levels, and where the role emerges inside production teams. ## [Using AI Agents for Incident Response: A Practical Setup Guide for On-Call Engineers](https://omps.in/ai-agents-incident-response-on-call-guide/) _2026-07-04 · Om Prakash Singh · Om Prakash Singh_ AI agents are genuinely useful in incident response — for runbook execution, log triage, and communication drafting. They are not useful as autonomous decision-makers. Here is the practical setup that works: where to put the AI, where to keep the human, and the specific failure modes to design around. ## [Agent Replay Is A Product Surface, Not A Debugging Feature](https://labs.adaline.ai/p/agent-replay-product-surface) _2026-07-04 · Nilesh Barla · Adaline Labs_ Agent replay for production AI agents: what to capture in every trace, who it serves, and why to design it in from day one. ## [Building a CFO-Ready Cloud Cost Report: The Template Every Platform Team Needs](https://omps.in/cfo-ready-cloud-cost-report-template/) _2026-06-27 · Om Prakash Singh · Om Prakash Singh_ The gap between how engineers see cloud costs and how finance sees them is the source of most FinOps failures. Here is the reporting structure, the metrics, and the framing that closes that gap — built from the experience of explaining infrastructure spend to finance teams who have zero tolerance for technical abstraction. ## [The Long-Horizon AI Agents Ceiling Is A Product Problem](https://labs.adaline.ai/p/long-horizon-ai-agents-planning-ceiling) _2026-06-27 · Nilesh Barla · Adaline Labs_ The planning ceiling for long-horizon AI agents is real and moving slowly. Five product moves now bypass it, including embeddings-as-memory for guardrail adherence. ## [Messy Fusion](https://www.dylanamartin.com/2026/06/21/messy-fusion.html) _2026-06-21 · Dylan · Dylan Martin_ At the turn of the 20th century, British shipyards launched something close to eighty percent of worldwide shipping tonnage.1 Yards like John Brown, Swan Hunter, and Harland & Wolff supplied much of the world’s merchant fleet. Brian Potter, Construction Physics, “How the UK Lost its Shipbuilding Industry.” Source for the UK shipbuilding figures and the Lorenz account of the industry’s… ## [GPU Infrastructure 101: What Platform Engineers Need to Know Before Their First AI Workload](https://omps.in/gpu-infrastructure-platform-engineers-ai/) _2026-06-20 · Om Prakash Singh · Om Prakash Singh_ GPU infrastructure has a completely different operational profile from CPU-based compute. Before your first AI workload hits production, here is what every platform engineer needs to understand about GPU scheduling, memory architecture, multi-tenancy, and cost management. ## [The Self-Improving Agent Is A Production Pattern Now](https://labs.adaline.ai/p/self-improving-ai-agent-production-pattern) _2026-06-20 · Nilesh Barla · Adaline Labs_ The self-improving AI agent is a real production pattern now. What agentic harness engineering is, and the five layers that build one. ## [Building Engineering Culture Across Time Zones: What Works, What Fails, and What Nobody Admits](https://omps.in/engineering-culture-distributed-teams/) _2026-06-13 · Om Prakash Singh · Om Prakash Singh_ 70 engineers across four countries. The failure modes nobody warns you about and three practices that actually work at distance: writing culture as infrastructure, explicit decision protocols, and deliberate relationship investment. ## [Dissecting Series A Rounds (Sponsored)](https://crawlproof.com/a/p0ak7IM5XQgD) _2026-06-13 · **Sponsored**_ Two real Series A cases: timelines, investor sequencing, and common founder mistakes. ## [Chat Is the Wrong Default for AI Products](https://labs.adaline.ai/p/post-chat-interface-ai-products) _2026-06-13 · Nilesh Barla · Adaline Labs_ Why the chatbox became the default AI interface, the four patterns replacing it in 2026, and a three-question diagnostic for your product. ## [Issue 02: Evidence, ownership, and delivery truthfulness](https://thehardparts.dev/issues/02) _2026-06-08 · The Hard Parts_ Issue 02 expands the reference around evaluation discipline, ownership boundaries, delivery commitments, and the difference between activity and evidence. ## [AI Accelerates Old Failure Modes](https://thehardparts.dev/field-notes/ai-accelerates-old-failure-modes) _2026-05-13 · The Hard Parts_ AI did not invent the ordinary gaps in software delivery like incomplete specifications, rushed reviews unclear ownership, or architecture that is harder to explain than we would like. It made those gaps easier to carry forward into working code. This is why engineering judgment matters more than ever. ## [Issue 01: The inaugural edition](https://thehardparts.dev/issues/01) _2026-04-27 · The Hard Parts_ First public release of the reference. Four catalogs ship together — failure modes, tech decisions, red flags, engineering playbooks — covering the recurring shape of software work. ## [On Hormuz (and concretely leveraging geography)](https://www.dylanamartin.com/2026/04/10/on-hormuz.html) _2026-04-10 · Dylan · Dylan Martin_ I spent an evening going down a macro rabbit hole after reading Citrini Research’s field report on the Strait of Hormuz. One of their analysts was physically on the water near Oman, watching tankers transit through Iran’s checkpoint system, talking to fishermen and shipping captains. So sick. I texted some thoughts I’d had about it to my friend Cameron the next morning and our subsequence… ## [Agentic Failure Modes](https://www.dylanamartin.com/2026/03/24/agentic-failure-modes.html) _2026-03-24 · Dylan · Dylan Martin_ After hundreds of agent-assisted sessions, two failure modes keep showing up. They look different, feel different, and need different responses. ## [Steelman: an adversarial reasoning tool for decision-making](https://www.dylanamartin.com/2026/03/11/announcing-steelman.html) _2026-03-11 · Dylan · Dylan Martin_ I’ve been thinking a lot about how I make decisions; especially the hard ones, where I have a strong opinion and I’m not totally sure if it’s right. The kind where you walk into a meeting, lay out your case, and someone asks a question you hadn’t considered, and suddenly you’re on your back foot, revising your argument in real time. ## [Contra Yang, et al](https://www.dylanamartin.com/2026/02/21/contra-yang-et-al.html) _2026-02-21 · Dylan · Dylan Martin_ This morning I woke up to a text from my dad, who was asking for my opinion on this piece from Andrew Yang. I wrote him a shorter response that contained a decent chunk of what I’m about to say, but it turns out I had a lot more to say about the topic, and when I finally got done writing it all down, I had what almost looked like a blog post. Figured I might as well flesh it out, and here we are. ## [Spinning the Wheel](https://www.dylanamartin.com/2026/02/02/spinning-the-wheel.html) _2026-02-02 · Dylan · Dylan Martin_ A few months ago I wrote about spinning plates and racing toward bottlenecks. The gist was that LLMs had changed how I work, I was faster but learning less, and I was trying to find a balance between leverage and atrophy. ## [What I Talk About When I Talk About PostHog](https://www.dylanamartin.com/2026/01/28/what-I-talk-about-when-I-talk-about-posthog.html) _2026-01-28 · Dylan · Dylan Martin_ I’ve been at PostHog for about eighteen months now. Long enough to ship meaningful work, long enough to break things in production, long enough to feel the weight of both. This is my attempt to write down what that’s been like. ## [ThreatCrush on GitHub (Sponsored)](https://crawlproof.com/a/ssRb2hI6Qs1Q) _2026-01-27 · **Sponsored**_ View the ThreatCrush listing on the GitHub Marketplace. ## [New Year, New Me](https://www.dylanamartin.com/2026/01/27/new-year-new-me.html) _2026-01-27 · Dylan · Dylan Martin_ I redesigned this site over the weekend. If you’re reading this, you’re looking at the new version. ## [Dotfiles](https://www.dylanamartin.com/2026/01/04/dotfiles.html) _2026-01-04 · Dylan · Dylan Martin_ I was talking to my buddy Cameron about all of the custom Claude code stuff I’ve been tinkering with (I talk about this in Spinning Plates and Racing towards Bethlehem), and he asked me if he could see some of the agent stuff I’ve written. This made me realize that I’ve never actually published the dotfiles where I keep all my configurations. His question, plus recently reading Justin’s post about… ## [We Have New York at Home](https://www.dylanamartin.com/2025/12/19/we-have-new-york-at-home.html) _2025-12-19 · Dylan · Dylan Martin_ I spent a month living and working in New York recently, and I loved it — not for any one specific high, but for how much better my day-to-day life felt. The shape of my days wasn’t even that different from Seattle: I still worked, grabbed coffee, ran errands, met up with friends. It just felt easier to be out in it. More “let’s hit the town tonight” baked into a random Tuesday.