System
We track 56 posts about System from 40 engineering blogs. Most active: Vanilla Java, Stack Overflow, Advanced Web Machinery. Latest post: Oct 8, 2026.
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Part 5: Operating an LLM system: observability, cost, routing, and the platform underneath (opens on the source site)
Your service can be 100% up and still quietly approving the wrong things, burning its budget, or failing over into untested quality. Level 5 is the infrastructure that lets you see your decisions, bound your spend, route and fail over between models, kill bad behavior in seconds — and the platform that makes all of it possible.
Workbench: Building an AI Content Generation and Quality Assurance System at Scale (opens on the source site)
How Thumbtack built an AI pipeline that generates, evaluates, and refines marketing content at scale, maintaining human-level quality programmatically.The ChallengeThumbtack connects customers with local service professionals across a wide range of categories and geographies. For many customers, the first entry point to Thumbtack is a landing page. When someone searches Google for “plumber near me” or “duct cleaning Raleigh NC”, these pages are where they land, and they are the user’s first impression of the marketplace for that query. The footprint targeted by this work is roughly 500K such…
Part 4: Safety and governance for LLM systems: guardrails, PII, audit, and memory (opens on the source site)
The level where an LLM system stops being a demo and earns the right to touch real data and real decisions: layered guardrails that fail closed, PII handled at the boundary, an immutable audit trail, and scoped memory. By the time an LLM system is making decisions that matter, “it usually works” is no longer the bar. This is Level 4 of the maturity model — safety and governance — and it’s where four disciplines that teams tend to bolt on late have to be designed in instead. They share one idea: don’t trust a single point to do the right thing. Layer independent guardrails so a miss at one is…
JSON-LD for Developers: Building Structured Data That Search and AI Systems Can Parse (opens on the source site)
null Continue reading JSON-LD for Developers: Building Structured Data That Search and AI Systems Can Parse on SitePoint.
Part 6: An operating system for coding agents: the disciplined build (opens on the source site)
Coding agents are great for an afternoon and mediocre for a quarter. Here’s the small set of files and rules — with the actual configs — that keeps quality from decaying across months and thousands of edits, whether you run one agent or a fleet of them on the same repo.
How to Install Python on Your System: A Guide (opens on the source site)
To learn how to install Python on your system, you can follow a few straightforward steps. First, check if Python is already installed by opening a command-line interface and typing python --version or python3 --version. You can install Python on Windows using the official installer from Python.org or through the Microsoft Store. On macOS, you can use the official installer or Homebrew. For Linux, use your package manager or build Python from source. By the end of this tutorial, you’ll understand how to: Check if Python is installed by running python --version or python3 --version in a…
Universal Copy System Link for 97 Windows PCs (opens on the source site)
In 1997 I wrote UcsLink.Fusion for the University of Geneva. We had hundreds of PCs across the city, Sun and Windows NT servers, and Windows 95 and Linux workstations. Getting a user’s software and settings onto whichever PC they sat down at was a job for login scripts. I wrote a Delphi 2.0 application to do it instead. UCS stood for Universal Copy System. Fusion read a script that mapped network drives, copied shared software, created shortcuts, connected printers, set environment variables and synchronized the clock. It could include other scripts, test conditions and clean up files left by…
From 4 Months to 2 Years: Scaling Systems and Stepping into Seniority at Bazaarvoice (opens on the source site)
A follow-on from the smash hit that was “My First 4 Months at Bazaarvoice.” While my first post focused on onboarding and adapting to a global organization, this post shifts focus to developing at scale, navigating major organizational shifts, and my journey to becoming a Senior Engineer. What’s Been Going On? (The High-Level View) To […]
Automated merchant review summary system with integrated feedback (opens on the source site)
Grab ·
Introduction Merchant reviews contain useful details about food quality, portion size, packaging, and value. Finding these details often requires reading many comments. Aggregate ratings simplify comparisons, but they do not explain what shaped each score. We built the Automated Merchant Review Summary System to turn written reviews into concise summaries. Consumers can scan an overall summary or focus on a specific topic. Merchants can identify what customers value and which parts of the experience need attention. This article focuses on how we generate and maintain consumer-facing review…
New on the LernerPython practice system: A visual debugger (opens on the source site)
I’m a big fan of exercises, which is why the LernerPython platform includes hundreds of them — all using my in-browser practice system, which handles Python, Pandas, and Git, along […] The post New on the LernerPython practice system: A visual debugger appeared first on LernerPython.
AI makes design system guardrails mandatory; this framework delivers them (opens on the source site)
AI has made implementing and enforcing design systems cheaper than ever. At the cost of speed, this falls through the cracks. But agentic development makes good design system practice non-negotiable. Implement a design system and bring consistency to an existing project.
Migrating Large System Prompts to Ollama Without Attention Loss (opens on the source site)
A practical engineering guide to moving complex cloud LLM system prompts to local Ollama runtimes with RoPE frequency scaling and Modelfile tuning. Continue reading Migrating Large System Prompts to Ollama Without Attention Loss on SitePoint.
Open by design: How Elastic supports MOSA, the DoD's Modular Open Systems Approach (opens on the source site)
Elastic ·
Major US defense acquisition programs are required to be designed around a Modular Open Systems Approach (MOSA). Here's what program offices need to know about how Elastic can support MOSA at the data and analytics layer.
VoIP, VPN, and the Build System Behind Them (opens on the source site)
Codename One adds native call management and VPN APIs, while its builders generate the platform services, frameworks, permissions, and extension plumbing only when an application uses them.
How to Install Paperless-ngx Document Management System on Debian 13 (opens on the source site)
Paperless-ngx is a document management application for storing, reading, and categorizing documents digitally. This application can simplify storing scanned or ... Read More The post How to Install Paperless-ngx Document Management System on Debian 13 appeared first on RoseHosting.
New system views in PostgreSQL 19 (opens on the source site)
PostgreSQL 19 adds four system views that make lock contention, recovery state, autovacuum priorities, and dynamic shared memory allocations easier to inspect.
Put App Documents in the System File Browser (opens on the source site)
Document Provider publishes a selected read-only tree from a Codename One application into the iOS Files app and Android storage picker, including local and on-demand remote content.
The Real Python Podcast – Episode #309: Exploring Complex Systems & Maintainable Data Science Pipelines (opens on the source site)
What are the key characteristics of complex systems, and what are practical patterns for tackling complex coding problems? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
When Did Someone Last Look at the Systems Your Business Depends On? (opens on the source site)
I recently reviewed the codebase behind a small professional services company’s custom platform. Buried in the source was this: if you send the production system a request with a header named “bypass” and a hard-coded password, you skip login entirely and get administrative access to their production system. On the call where I explained this […] The post When Did Someone Last Look at the Systems Your Business Depends On? appeared first on Atomic Spin.
Two of Everything: What Michigan’s Health System Mergers Reveal About AI (opens on the source site)
In April, I spent a morning at the Apple Manufacturing Academy Summit at MSU, where Apple and Michigan State train companies to implement AI. The room was operations leadership. People who run the work, not people who write AI strategy memos. A McKinsey presenter put up a spend breakdown for AI deployments that work: $2 […] The post Two of Everything: What Michigan’s Health System Mergers Reveal About AI appeared first on Atomic Spin.
17,600 Actions: Agent Security Is a Systems Problem (opens on the source site)
Docker ·
The OpenAI/Hugging Face incident exposed a new challenge for AI agent security. 17,600 attacker actions show why AI agent security can’t rely on human review. Explore the controls needed to constrain, observe, and govern agents at speed.
Confluent Cloud for Apache Flink: Engine for Mission-Critical, Real-Time Operational Systems and dbt/SQL-Native Home for Data Science and AI (opens on the source site)
Flink now acts as a robust engine for developers through Table API, UDFs, and PTFs while offering a SQL-native, dbt-integrated platform for data science and AI teams.
How Neuron Systems Served 2.3 Million Fans Across 104 World Cup Matches with AI on Confluent (opens on the source site)
Every one of the 42.1 million production events flowed through Confluent’s Data Streaming Platform and that single decision is what let a small team serve a global tournament without the commentary ever falling out of sync.
Build intelligent Android apps: Integrate into Android's intelligence system using AppFunctions (opens on the source site)
Android ·
Posted by Ben Weiss, Senior Developer Relations Engineer, Android Developer RelationsWelcome back to the blog post series "Build intelligent Android apps" where we take a basic Android app and transform it into a personalized, intelligent, and agentic experience. In our previous post, we explored how to leverage Firebase AI Logic to build cloud-hosted and hybrid AI features.Traditional mobile UIs excel at focused, hands-on tasks, and the Android intelligence system is introducing complementary features to make complex, multi-step actions even easier. By supplementing traditional user…
Invite Systems are an Open Relay (opens on the source site)
Every time I think I've seen it all from spammers, they do something that surprises me. The ingenuity of bad actors is an interesting thing. I always wonder what sort of world we'd live in if their efforts were focused on good. What sucks the most is when they abuse something that's intended to bring people together. Case in point, an invite system. It exists to allow somebody the chance to get the rest of their team using a product or service. Invites wouldn't work if they said "You've been invited to platform" with no additional context. Typically the email states the name of the…
How to Build a Rideshare Dispatch System with Geofencing (opens on the source site)
PubNub: ·
Learn how to build a rideshare dispatch system step by step, using Google Maps, H3 geofenced driver eligibility, and a fair FIFO queue with PubNub Presence.
Building a design system specced for engineers and agents (opens on the source site)
Coding without design guidelines can leave teams with an inconsistent UI design and a complex feature development process. Here's how we built a design system for Currents that's readable by engineers and AI agents.
Building Reliable Agentic AI Systems (opens on the source site)
One of the most interesting projects my colleagues have done with LLMs has been building a system with Bayer to allow pharmaceutical researchers to query decades of information about studies buried in PDF reports. Sarang Sanjay Kulkarni describes its evolution from keyword-based search to an intelligent research assistant capable of answering complex questions and drafting regulatory documents. more…
How We're Thinking About Agentic Systems (opens on the source site)
Doximity ·
In the current rush to adopt agentic systems, the most dangerous question isn't "what can we make agentic?" but "where do agents actually help?" At Doximity, we’ve found that moving from a working demo to a production-grade agent requires a shift in focus—from model capability to system design. That framing matters because a working demo and a production system are very different things. The demo proves something can work once. The product has to work repeatedly, with real users, real permissions, real data, and real failure modes. That matters even more in healthcare-oriented products like…
From Chaos to Clarity: How We Built a Unified, Self-Routing Support Ops Ticketing System at Lyft (opens on the source site)
Lyft ·
Written by Atul Gupta, Analytics Manager — LUS Support Ops, LyftAt Lyft, getting operators and riders connected quickly and reliably depends on more than technology — it depends on the teams working behind the scenes to keep that technology running smoothly. For the operators managing Lyft’s fleet across markets, having fast, reliable access to support is what keeps bikes on the road, stations stocked, and issues resolved before they affect riders. Building the infrastructure that makes that support possible is what our team does; this is the story of how we built it.When I first joined Lyft…
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