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Code, Campaigns, and Lessons from the Digital Realm

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Frank Jamison Avatar
  • An elderly wizard restores a massive ancient spellbook in a candlelit fantasy library, studying aged pages filled with code, diagrams, and architectural notes while a small AI automaton assists nearby. Glowing blue system diagrams, old technical volumes, scrolls, and a castle beyond the window symbolize legacy code, refactoring, code modernization, technical debt, and AI-assisted cleanup.
    The Enchanted Workshop

    Restoring Ancient Spellbooks: Modernizing Legacy Code

    August 7, 2026 /

    Some of the greatest magic lies hidden beneath centuries of dust. There is a particular kind of software that almost every experienced engineer eventually encounters. It has been running for years, perhaps decades, quietly processing orders, generating reports, moving money, coordinating inventory, or supporting some other function the business cannot simply abandon. Its architecture reflects decisions made by developers who may have left long ago. Its dependencies have aged, its conventions belong to another era, and certain portions of the codebase are approached with the same caution a wizard might use when opening an ancient spellbook whose margins contain several generations of increasingly nervous annotations. The temptation is to look…

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    Frank Jamison

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    A fantasy wizard studies a glowing AI spellbook inside a restricted archive, surrounded by magical security shields and references to security, privacy, intellectual property, confidential data, and responsible AI usage. An illuminated diagram connects AI with input, authority, and output, while notes about least privilege and careful information sharing emphasize responsible engineering judgment.

    Forbidden Tomes: AI, Security, and Responsible Engineering

    August 12, 2026
    A thoughtful wizard studies a glowing crystal ball inside a medieval observatory transformed into a software engineering workspace. The crystal ball displays realistic-looking code alongside prominent warning messages indicating nonexistent APIs and deprecated methods, symbolizing AI hallucinations. Surrounding the wizard are official documentation books, verification checklists, engineering notes, and a ritual board outlining a disciplined software validation process. Additional notes encourage asking critical questions, verifying assumptions, and consulting authoritative sources before trusting AI-generated solutions. The scene combines fantasy and technology to illustrate the importance of critical thinking, source validation, and professional judgment in AI-assisted software development.

    The Crystal Ball Lies Sometimes: Verifying AI Before You Trust It

    July 31, 2026
    An elderly wizard in deep blue robes sits at a wooden desk inside a grand medieval library, carefully writing on a parchment with a feather quill. Shelves of ancient books fill the background beneath tall stone arches, creating the atmosphere of a magical archive. Around the wizard, glowing blue holographic panels illustrate an AI-assisted documentation workflow, showing an AI assistant drafting information, an engineer adding judgment and context, and a review process validating accuracy and clarity before documentation is shared. Stacks of books labeled Design Decisions, Lessons Learned, Architecture Notes, Incident Reports, and Operational Runbooks reinforce the importance of preserving engineering knowledge. A scroll on the desk highlights the qualities of effective documentation, including explaining why decisions were made, capturing context, guiding future decisions, preventing mistakes, and outliving the original engineers. Nearby, a documentation quality checklist emphasizes accuracy, current information, clear context, valid examples, and usefulness to future team members. A glowing crystal orb displays the message Better Docs = Better Systems, visually connecting thoughtful documentation, AI-assisted knowledge sharing, and long-term software maintainability.

    The Endless Scribe: Writing Documentation with AI

    August 3, 2026
  • An elderly wizard in deep blue robes sits at a wooden desk inside a grand medieval library, carefully writing on a parchment with a feather quill. Shelves of ancient books fill the background beneath tall stone arches, creating the atmosphere of a magical archive. Around the wizard, glowing blue holographic panels illustrate an AI-assisted documentation workflow, showing an AI assistant drafting information, an engineer adding judgment and context, and a review process validating accuracy and clarity before documentation is shared. Stacks of books labeled Design Decisions, Lessons Learned, Architecture Notes, Incident Reports, and Operational Runbooks reinforce the importance of preserving engineering knowledge. A scroll on the desk highlights the qualities of effective documentation, including explaining why decisions were made, capturing context, guiding future decisions, preventing mistakes, and outliving the original engineers. Nearby, a documentation quality checklist emphasizes accuracy, current information, clear context, valid examples, and usefulness to future team members. A glowing crystal orb displays the message Better Docs = Better Systems, visually connecting thoughtful documentation, AI-assisted knowledge sharing, and long-term software maintainability.
    The Enchanted Workshop

    The Endless Scribe: Writing Documentation with AI

    August 3, 2026 /

    The fastest quill is worthless if no one can read what it writes. Software has a remarkable ability to outlive the people who create it. A feature completed during a single sprint may continue serving customers for a decade. Entire engineering organizations evolve around systems whose original architects have long since moved on. New developers inherit the code, extend it, modernize it, and occasionally struggle against it without ever hearing the conversations that shaped its design. By the time software reaches maturity, its greatest challenge is rarely understanding what it does. The real challenge is understanding why thoughtful engineers decided it should behave that way. The software itself may remain…

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    Frank Jamison

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    An experienced wizard mentors a young apprentice in a candlelit magical workshop where fantasy and software engineering converge. A glowing instructional board illustrates prompt engineering concepts including context building, prompt patterns, iterative conversations, and specifying requirements, while an open spellbook displays a structured AI prompt template. A crystal ball labeled with clarity, context, constraints, and success symbolizes effective prompt design, surrounded by engineering books, architectural references, and magical artifacts that reinforce the theme of AI as an apprentice guided by thoughtful engineering judgment.

    Speaking the Language of Spells: Prompt Engineering That Works

    July 29, 2026
    A thoughtful wizard studies a glowing crystal ball inside a medieval observatory transformed into a software engineering workspace. The crystal ball displays realistic-looking code alongside prominent warning messages indicating nonexistent APIs and deprecated methods, symbolizing AI hallucinations. Surrounding the wizard are official documentation books, verification checklists, engineering notes, and a ritual board outlining a disciplined software validation process. Additional notes encourage asking critical questions, verifying assumptions, and consulting authoritative sources before trusting AI-generated solutions. The scene combines fantasy and technology to illustrate the importance of critical thinking, source validation, and professional judgment in AI-assisted software development.

    The Crystal Ball Lies Sometimes: Verifying AI Before You Trust It

    July 31, 2026
    A fantasy wizard studies a glowing AI spellbook inside a restricted archive, surrounded by magical security shields and references to security, privacy, intellectual property, confidential data, and responsible AI usage. An illuminated diagram connects AI with input, authority, and output, while notes about least privilege and careful information sharing emphasize responsible engineering judgment.

    Forbidden Tomes: AI, Security, and Responsible Engineering

    August 12, 2026
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