Why AI Made Your Release Problem Worse, Not Better
More code hasn't meant faster releases. With AI accelerating code generation, verification has become the bottleneck.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Ep 91 | Beyond the POC: AWS's Playbook for Enterprise AI Success
Most AI pilots never make it past the demo phase. AWS Machine Learning Lead Praveen Jayakumar has seen plenty of promising AI projects get stuck between a successful demo and production. Teams often define what success looks like without deciding what failure looks like, leaving underperforming projects alive long after they should have been shut down. As Praveen puts it, they become “zombie” AI projects.
What is LLM Context Windows & Context Engineering? Explained by Toni Ramchandani
This session takes a practical look inside LLM context windows and token consumption, exploring what happens when context enters a model - from tokenization, embeddings, attention, QKV, prefill, and decode to KV caching. It also examines how context windows are allocated and why simply increasing context length doesn’t always lead to better model performance.
Your GitHub Actions cache is the real bottleneck
Namespace, Avrea, and Blacksmith are among the fastest GitHub Actions runner providers on the market right now. According to Avrea's August 2026 benchmarks, they all score within about 1% of each other on raw CPU. The same benchmark shows warm builds (populated cache) beating GitHub's default cold start (cache disabled) by anywhere from 5x to more than 140x, depending on the project.
PDF Data Extraction in Astera ReportMiner
This video shows how Astera ReportMiner extracts structured data from PDFs in two ways: a reusable template for consistent layouts, and an AI-driven pipeline for documents that vary. Working from a mix of PDFs, digital and scanned, that vary in layout and quality, you can build a custom extraction logic in ReportMiner: Whether a PDF arrives with a known layout or a new one, it runs through the same pipeline into the same output, with fewer manual exceptions and less setup.
Claims Administration: What It Covers and How to Streamline It
In 2026, claims administration connects intake, assessment, reserves, payments, compliance, and performance reporting. It directly affects settlement speed, operating costs, financial accuracy, and customer satisfaction. Insurers need integrated data, automated workflows, and consistent decision controls.
Predictive Analytics in Real Estate: From Historical Reports to Forecasting
The forecasting model is often the smaller part of the job. In production, what makes predictive analytics in real estate reliable is the infrastructure around it: governed historical data, unified business entities, feature pipelines, model serving, monitoring, and integration into the systems where people work.
Correct Code, Wrong Baseline: The Hidden Security Risk of AI-Assisted Node.js Development
AI coding tools are becoming increasingly capable of writing software that compiles, passes tests, and solves real engineering problems. But generating working code is only part of what these systems now do. When an AI assistant creates a Node.js project, it may also influence decisions about: Those decisions can survive much longer than the generated code itself.
How Medical Practice Consulting Improves Both Compliance and Patient Experience
How closely are compliance and patient experience actually connected in a medical practice? While compliance often focuses on regulations, documentation, privacy, and operational standards, it can directly influence how smoothly patients move through their care. Disorganised processes, inconsistent communication, or poorly managed administrative responsibilities can create compliance risks while also frustrating patients.
WSO2 Agent Manager Brings Sovereign AI Governance to Enterprise Agent Sprawl
General availability adds sandboxed runtime, verifiable identity, and MCP-level governance, giving enterprises control of every agent without being tied to one model or framework.