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BtSavvy

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FORGE Perspective is BtSavvy's research series on building serious software with AI. Each paper looks at one way AI-built applications fail as they grow, what the published research has measured, and what that research shows works instead.

  • Strategy & Architecture

    Where the system's structure is decided, and where, without enforcement, it quietly erodes.

  • Operations & Engineering

    What it takes to build and run an AI-built system in production, beyond the demo.

  • Governance & First Principles

    What enterprise AI governance and trust actually require, once you stop accepting a document as proof.

  • Governance & First PrinciplesOct 7, 2026

    The missing don’t: An AI agent may treat what you didn’t forbid as allowed

    Why the rules nobody wrote down get broken, what the research measures, and how to say what is allowed instead.

  • Operations & EngineeringOct 5, 2026

    Biased reasoning: A flaw behind Anthropic’s AI security incidents can show up in coding agents too

    Anthropic identified biased reasoning as one of two behaviours in four security incidents involving its AI models this year. The same pattern can show up in AI-assisted coding: a failing test explained away, or a report that claims more than the testing shows.

  • Governance & First PrinciplesSep 25, 2026

    A goal without a harness

    In July 2026 an OpenAI evaluation gave tens of thousands of agents the same kind of task: exploit a target through a named vulnerability and capture a flag. The instructions permitted only that vulnerability. The grader checked only the flag.

  • Operations & EngineeringSep 25, 2026

    Why vibe coding breaks down on a serious build

    We set thirteen failure modes, each named in a research paper, a vendor document or a practitioner write-up published since March 2026, beside the defect ledger of an enterprise application built by vibe coding: AI coding agents prompted and their work accepted, with no…

Publications

DateCategoryTitle
Oct 14, 2026Governance & First PrinciplesThe brain and the body: What makes AI “agentic”
Oct 7, 2026Governance & First PrinciplesThe missing don’t: An AI agent may treat what you didn’t forbid as allowed
Oct 5, 2026Operations & EngineeringBiased reasoning: A flaw behind Anthropic’s AI security incidents can show up in coding agents too
Sep 25, 2026Governance & First PrinciplesA goal without a harness
Sep 25, 2026Operations & EngineeringWhy vibe coding breaks down on a serious build
Sep 23, 2026Operations & EngineeringSilent failures and the limits of AI incident diagnosis
Sep 16, 2026Strategy & ArchitectureWhat separates an AI-built demo from a working application
Sep 9, 2026Governance & First PrinciplesConnecting software changes to approval evidence
Sep 2, 2026Strategy & ArchitectureModel accuracy falls long before the context window is full
Aug 26, 2026Operations & EngineeringReward hacking in coding agents and the independent check
Aug 19, 2026Governance & First PrinciplesAssigning authority to coding agents
Aug 12, 2026Strategy & ArchitectureHow coding agents fill in the standards nobody gave them
Aug 5, 2026Operations & EngineeringChange volume, stability and the limits of human review
Jul 29, 2026Governance & First PrinciplesEvaluating variation in generated code
Jul 22, 2026Strategy & ArchitectureDecomposing the work and checking each piece