AAI Developer·3d agoWhat Does One Successful AI Workflow Cost? Measuring LLM Spend in Django (Part 5)Divide all LLM spend, failures and retries included, by real business successes. Price prompt caching's three buckets correctly and add a budget guard that fails closed before the call.18 min read·aidevpro.hashnode.dev
SShakil Ahmed·Nov 4Building Trusted AI Agents with Statistical RigorThe 80/20 Reality of AI Building an agent prototype is deceptively easy, often taking only minutes. However, turning that demo into a production-grade system that a business can depend on represents t3 min read·shakillinit.hashnode.dev11A
PPrem Choudhary·Oct 28Safe Secrets and Smart Scaling in EKS with KarpenterSafe Secrets and Smart Scaling in EKS with Karpenter9 min read·prem14choudhary.hashnode.dev
MMuhammad Tahir·Oct 1Self-Healing CI/CD: Integrating Autonomous AI Agents for Automated Code FixesThis article was originally published on Muhammad Tahir's Portfolio. Introduction & Industry Context For over a decade, continuous integration and continuous deployment (CI/CD) pipelines have operated12 min read·mtdeveloper.hashnode.dev
MMira roy·Sep 30A Reference Pattern for Logging and Auditing LLM API CallsLearn how to structure LLM API audit logging for traceability, model monitoring, retention, & secure AI systems, with practical worked schema example.6 min read·ainetwork.hashnode.dev
MMarc Wojcik·Sep 26AI Agent Observability: The Enterprise Python Tracing GuideWhy tracing agent decisions is now a governance requirement, not just a debugging tool14 min read·blog.thecgaigroup.com12BM
MMarc Newstead·Sep 21The LLMOps Stack Decision: Why Your Architecture Matters More Than Your Cloud ProviderThe LLMOps Stack Decision: Why Your Architecture Matters More Than Your Cloud Provider If you're building LLM-powered features in 2025, you've probably noticed something: AWS, Azure, and Google are ea5 min read·icentric-ai-and-automation.hashnode.dev
Mmamonu·Aug 22Exposing an LM Studio Server Running in WSL2 to Your LANBecause “It Works on localhost” Wasn’t Annoying Enough15 min read·mamonu.hashnode.dev
SSai Sandeep Kantareddy·Aug 12Start Deterministic: Design Principles for Routers and Orchestrators in Multi-Agent SystemsI learned this lesson the practical way: by building agentic systems, watching them work, watching them fail, and then slowly realizing that “more agents” is not the same thing as “more intelligence.”10 min read·tokenbytoken.hashnode.dev12AK
TTalha·Aug 7# One Prompt, Five Platforms — Only One Rendered It RightWe built one prompt with an if-branch and a loop, then rebuilt it in Langfuse, Opik, Phoenix, Helicone and AcruxCore. Only one rendered it unchanged.9 min read·aiguru.hashnode.dev
