u/Prestigious-Bank2145

Was searching for a way to structure my thoughts on AI coding agents with Claude and found a really clear breakdown. Highlights below:

• Document & Refactor Legacy Services: Map system designs and data flows for undocumented legacy code, identify hidden logic/security flaws, and refactor code to reduce risk.
• Find & Fix Architectural Flaws: Audit codebases for Domain-Driven Design (DDD) boundary violations, bypassed coding standards, and API design issues, while enforcing Quality Attribute Requirements (QARs).
• Perform Security Audits: Trace data flows, scan for complex logic flaws across files, auto-patch vulnerable open-source dependencies (e.g., npm packages), and generate test scripts to stress-test defenses.
• Build Prepackaged Shell Applications: Create reusable, constrained "starter shells" or frameworks that allow developers to prototype rapidly while adhering to organization-wide architectural boundaries.
• Generate & Evaluate Minimum Viable Architectures (MVAs): Quickly generate initial structural designs and run automated tests to measure performance, scalability, and quality attribute trade-offs early in development.

Full article, with concrete examples at: https://www.infoq.com/articles/ai-agents-improve-software-architecture/?utm_source=email&utm_medium=architecture-design&utm_campaign=newsletter&utm_content=10062026

Source: exchange feeds via Yahoo Finance, some of it delayed. Tool: Chart.js.

Every comparison of world markets I could find shows one index at a time, or a heatmap that flattens a whole day into a single color. I wanted to see the handoff: Tokyo fading while London opens, then New York pulling on both.

The levels run from roughly 6,500 to 40,000, so the only way these share an axis is percent change. Each line is measured against its own market's previous close rather than a common baseline, which means every market's zero is its own last close, not a shared moment in time.

Two decisions that changed the picture:

Today is plotted from 5-minute bars, the week from hourly, the month from daily. The daily bars are dated by each exchange's local trading date. Without that, Tokyo and New York disagree about which calendar day a bar belongs to and the whole Asian side of the chart shifts by one.

The day's reference had to be the previous close specifically. The obvious field in the data is the close before the requested range, which quietly reports a multi-day move as today's change. It looked plausible and was wrong by a factor of two on some markets.

It's interactive and my own site, so link in a reply below rather than in the post.

The page refreshes about once a minute while markets are open.

Is is still hold?

Answer with details at:

https://gmdmarkets.com/will-quantum-replace-gpus

Some places keep those world‑market clock walls for tradition. I wonder if any traders still use them today.

Some places keep those world‑market clock walls for tradition. I wonder if any traders still use them today.

For anyone that wonder this wall is a live at:

https://gmdmarkets.com/is-the-market-open?kiosk=1

Created 3 demo projects on https://github.com/ShlomyShLev; Angular, React & Vue the closest was Angular.

Finally no tabbing, scrolling, shoveling, one scree that tell whats going on today.

https://www.reddit.com/r/GMDMarkets/comments/1u5mp46/one_screen_no_shovel_markets/

Portion made by Claude and exists in GitHub for personal use. Out of the box, for me it was surprise, Angular performance, measured by Lighthouse, was the 93, react 85, vue 85 with 0 optimization efforts. I assume that with optimization Vue can be better. Invite pro's to prove it.

Portion made by Claude and exists in GitHub for personal use. Out of the box, for me it was surprise, Angular performance, measured by Lighthouse, was the 93, react 85, vue 85 with 0 optimization efforts.