Ones and Zeros

What does AI mean  for senior developers?    So routine or tactical programming will die. We now have AI which is a multiplier for a senior developer. So senior developers will need to focus on strategic programming. STRATEGIC PROGRAMMING  * Work on wisdom by experience.  * Looking at overall goal.  * Design hard parts up front.  * Tasks well scoped  * Interfaces between modules  * Test seams  * Design code base is clean and where can find what you want. Overall, you need to get good at your domain.

Context Engineering In AI  * Overall, we need to compact the context to stay in AI's smart zone.  * Need to create research.md for the PR.  * Next need to create plan to fix ( plan.md ) for the PR.  * Overall look at things:    Source: by Dex Horthy of HumanLayer at https://www.youtube.com/watch?v=rmvDxxNubIg Put as much context as you can into files, rather than remembering to put in the prompt. Let AI do what it is good at read, write, edit, grep, bash, etc. More efficient to do HTML instead of JSON in regards to tokens in regards to context. RAG, prompt engineering, State/history, structured output, memory.   Create ADR markdown files to help AI.  Architectural Decision Record (ADR) is a short, lightweight doc used in software engineering to capture an important architectural choice, the context behind it, and its resulting consequences. Example 1: we doing pricing a certain way.  Example 2: we are not changing API schema, but rather ...

Testing AI Coding Testing AI-generated code:  * Shift from a "code review" mindset to an aggressive "runtime verification" strategy.  * Never let the same AI model write both the source code and the unit tests. Checklist: * Property Tests: Run randomized data to verify edge cases. * Input Validation: Check nulls, empty strings, and malformed JSON. * Dependency Audit: Pin explicit versions to flag stale training data. * PR Tagging: Label code as [AI-Generated] to alert reviewers. * Runtime Verification: Spin up ephemeral environments to observe actual execution behavior. Tools:  * Ito:   R uns your app, before reviewing the code. Uses Github PR. Attaches product demo video to PR.  https://www.ito.ai/  * Autonoma:  Self-updating UI testing. https://getautonoma.com/  * Testkube: CI against live infrastructure. Cloud-native. https://testkube.io/

  The "Magnificent Seven" (Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta, and Tesla)  stocks account for approximately 20% to 22% of the entire global stock market's capitalization. Index Market Scope Approximate Weight Source MSCI ACWI Global (Developed & Emerging) ~20% Man Group MSCI World Global Developed Markets Only ~22% Nationwide Financial S&P 500 United States Large-Cap Only 33.9% The Motley Fool The "Magnificent Seven" as % of S&P 500: Nvidia (NVDA): ~7.4% to 7.6% Apple (AAPL): ~6.7% Amazon (AMZN): ~4.2% to 6.7% (varies dynamically with recent trading) Microsoft (MSFT): ~4.6% to 5.3% Alphabet / Google (GOOGL/GOOG): ~3.5% to 3.9% Meta Platforms (META): ~2.1% to 3.0% Tesla (TSLA): ~2.2% to 2.5 Exact closing prices for each "Magnificent Seven" stock on May 29, 2026, and June 30, 2026:  Company (Ticker) End of May 2026 Close End of June 2026 Close Monthly Return Microsoft ( MSFT ) $450.24 $373.02 -17.15% Amazon ( AMZN ) $...