Use claude [options] [command] [prompt], how? here are explanation with examples: Basic prompt (interactive vs. one-shot) # Start an interactive session claude # Start interactive with an initial prompt claude "explain the architecture of this project" # One-shot, print result and exit (non-interactive) claude -p "what does src/main.py do?" # Pipe input in cat error.log … Continue reading Use Claude Effectively

No vendor uses plain SQL as the primary interface for terminal users — they all have proprietary query languages optimized for financial workflows. Behind the scenes, they may use SQL databases, Hadoop, or columnar stores (e.g., kdb+, Arctic, Parquet) internally for storage and processing, then expose data through their own APIs. Bloomberg is the most "closed" — almost everything stays … Continue reading How FinTech Store and Process Their Data

Using Haiku is much cheaper than Opus, being constrained by budget quota each week, I tend to use Haiku most of the time, but for complex and/or important tasks, Opus is the go-to as it can solve problems that Haiku can NOT. Here is a real case I would like to share. Asking the same … Continue reading Ten Times More Cost of Opus to Haiku Is Worthy

Most people think index providers sell benchmarks. They don’t. The real business is: ETF product creation thematic intelligence commercialization speed distribution enablement institutional trust Legacy firms like S&P, MSCI, and FTSE win with brand and scale. Newer players like Solactive and Indxx win with: speed customization flexibility lower pricing faster product launches AI shifts the … Continue reading The Future of Indexing Is Not Benchmarking — It’s ETF Commercialization

AI-generated quarterly opportunity reports. Every quarter, generate this report for each client: market gaps trending themes competitive whitespace ETF flow anomalies issuer comparison underrepresented exposures AI relationship memory system. Institutional sales teams forget things constantly. AI should remember below and then suggest: best next action, best timing, likely objections and likely internal champions. This becomes … Continue reading AI-powered, Proactive ETF Ideation Partner

Claude Code added this new feature: claude agents --json` to list live Claude sessions as JSON for scripting. But it's so abstract, what does it mean and how I can utilize it to better my workflow? What claude agents --json Does It outputs all your active Claude sessions in JSON format, making it easy to: … Continue reading Claude agents –json to list live Claude sessions as JSON for scripting

To use AI effectively, we need to instruct it properly, and these instructions are "skills"! Matt Pocock developed such skills sharing with us: Productivity Skills --- name: caveman description: > Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk … Continue reading Skills Created by Matt Pocock

The big “power user” features in Claude Code docs are basically: slash commands hooks skills agents/subagents MCP integrations memory systems permissions/sandboxing autonomous loops (/goal, /loop) I've been quite focused on memory management but also need to know how to leverage other tools. First, agent, we can ask directly to create another agent, then use /agent … Continue reading Tools Power Users Have for Claude Code

One of the biggest shifts in how experienced developers use Claude Code in 2026 is the realization that memory should be treated as a structured knowledge system — not an endlessly growing chat log. Teams that get the best results from Claude tend to follow a disciplined approach: keep context lean, organize knowledge intentionally, and … Continue reading Best Practices for Memory Management in Claude Code (2026)

React takes a very different approach from a traditional stack using HTML, CSS, and Flask. With Flask, the server usually generates complete HTML pages and sends them to the browser, while CSS handles styling and Python manages backend logic and routing. This model is simpler and works well for content-focused or smaller applications. React, by … Continue reading Quick Dive to React