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Artificial Intelligence

Technical analysis of AI agents, local inference, evaluation, and the systems required to deploy them safely.

  1. post

    Agent Skills Joins AAIF: What Engineering Teams Should Change

    Treat portable agent instructions as reviewed dependencies, with runtime permissions and evaluations kept explicit.

    8 min read
  2. post

    Anthropic’s Agent Incidents: Put Permissions Outside the Model

    What the October 9 disclosure means for tool permissions, browser automation, and agent evaluation design.

    7 min read
  3. post

    Beyond Autocomplete: Architecting Web Applications with Claude and Codex

    Why inline code generation breeds technical debt—and how senior web developers orchestrate Claude and Codex for robust system boundaries and state machines.

    8 min read
  4. post

    Claude Opus 5.5: Why the Model Recommendation Just Changed

    Opus 5.5 now performs at Claude Fable 5.1's level on most work while costing 40% less than the old Opus 5, and per-token it's now cheaper than Opus 5 was three weeks ago. That changes the advice from this site's last model comparison.

    7 min read
  5. post

    Claude Fable 5.1 vs Opus 5 vs Sonnet 5: Which Model Should You Actually Use?

    Fable 5.1 costs twice what Opus 5 does per token and shows only a 3-point gain over Fable 5 on CursorBench, but a 33-point jump on agentic coding benchmarks. The right pick depends entirely on which of those two numbers describes your workload.

    9 min read
  6. post

    Google's Open Knowledge Format Doesn't Replace Vector Search — It Fixes What Embeddings Were Never Good At

    OKF v0.2's actual spec, read against the RAG failure modes it's being sold as a cure for — and the hybrid architecture that follows once you separate the two problems.

    10 min read
  7. post

    Architecting Production Pipelines for Autonomous AI Coding Agents: Lessons from the Engineering Frontline

    A practical software architecture guide to context window assembly, sandboxed runtime environments, automated lint/build feedback loops, and human-in-the-loop governance.

    17 min read
  8. post

    Running Small Language Models (SLMs) on Edge & Browser Runtimes: WebAssembly, WebGPU, and Local Inference

    How client-side AI execution using WebGPU and WebAssembly is eliminating cloud API latency, guaranteeing zero data egress, and transforming browser developer tools.

    16 min read