Skip to content
360SOFTY
HomeInsights

Insights

Ideas for building
better software.

Engineering perspectives on architecture, product development, AI, and the everyday decisions behind useful software.

From the engineering desk

Browse practical articles or follow the latest technology updates.

Subscribe via RSS →

Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DZone

A Deep Dive into Tracing Agentic Workflows (Part 1)

Asking Claude, ChatGPT or any other advanced LLM “What is AI?” produces a well structured response seemingly in a matter of seconds. But between the user keystrokes, and the first token appearing, a tightly coordinated system is in play to generate this output. Your request first hits an ingestion layer. It verifies your session, checks rate limits, and runs the query through a trust filter. Your location quietly determines which compliance policies apply. The request is then stamped with a trac

DZoneRead original
ExternalSoftware Engineering
DZone

What Nobody Tells You About Multimodal Data Pipelines for AI Training

Most discussions about AI model training focus on architecture choices, compute budgets, and evaluation benchmarks. The data pipeline that feeds those models? It gets a paragraph, maybe two. Maybe a diagram with an arrow labeled "data ingestion." That gap is a real problem. In practice, data engineering is where most AI projects quietly fall apart. Not at the model level. Not at inference. At the pipeline.

DZoneRead original

Let’s start with a conversation

Tell us what you’re working on.

An idea, a challenge, or a system that needs to work better. We’ll help you understand the next step.

Discuss your project

Prefer email? [email protected]