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Articole: 31
  1. When xAI open-sourced their For You ranker on 2026-05-15, they redacted every numeric weight, every threshold, every Kafka topic, every config string — but they left every symbol name in source.

  2. Adding one optional frontmatter field to my blog produced a taxonomy I couldn't have written without doing the work.

  3. MeMo claims near-SOTA prompting via Munger's mental models.

  4. LLM generation costs roughly 1000× more than verification.

  5. Classical GP bundles five independent design choices behind one biology metaphor.

  6. If Claude Code's Bash tool returns 'Exit code 1' with empty stdout and empty stderr for every command, including `true` and `echo ok`, your /tmp is almost certainly full.

  7. The AI-supply-chain cohort is already crowded: Invariant, Snyk Agent Scan, JFrog, Klaimee, a dozen more.

  8. The biggest breakthroughs come from connecting unrelated fields — but the mechanism that produces them is broken.

  9. Applying IoC and dependency injection patterns to agentic service boundaries — and why technical plumbing alone won't prevent control inversion.

  10. Applying signal processing concepts to coding agent actions — from FFT and Markov models to a pragmatic health scoring algorithm for Claude Code hooks.

  11. slog is a zero-dependency structured logger for Node.js, Deno, Bun, and Cloudflare Workers with pluggable transports and a Hono waitUntil middleware.

  12. cairn is an append-only SQLite event store where immutability is enforced by triggers, not convention.

  13. The blog has moved to bjro.dev — a short domain that's easier to share and signals a long-term commitment to writing about software and technology.

  14. Every Node.js production system depends on a single corporate-controlled npm registry with no real alternative — a structural risk the ecosystem ignores.

  15. Debian turns 33 and keeps earning its title as the universal OS — community governance, 59,000 packages, and the foundation of over 1,000 Linux distributions.

  16. Apply partial application from functional programming to AI agents — pre-configure agent parameters to create reusable, composable agent building blocks.

  17. Linear types applied to AI agent safety — a type system that enforces single-use for destructive operations and statically rejects unsafe agent code.

  18. MarkyMarkov uses Markov chains to learn patterns from your codebase and provide fast, explainable code guidance that complements LLM agents.

  19. Philosophically informed AI agent design — modeling belief, knowledge, and epistemic norms — makes agent behavior more reliable and inspectable.

  20. How to pair agentic workflows with Temporal for durability, finite state machines for structure, and MCP servers to scale from pilot to production.

  21. Combine Markov chains with LLMs to build structured, interpretable agents — Markov chains enforce predictable state; LLMs provide semantic flexibility.

  22. Context is the most underrated lever in AI agent design — this post makes the case for MINDMAP-style context objects as a first-class agent primitive.

  23. Infra teams quietly feed logs, configs, and schemas to cloud LLMs when troubleshooting — extending the trust boundary into a black box they don’t control.

  24. Opinionated notes on software development in the age of agentic tooling — where LLMs genuinely change how we work and where the hype outpaces the reality.

  25. casq brings content-addressable storage to CI pipelines, eliminating redundant builds and test runs by identifying identical inputs with a git-style hash.

  26. whosthere is a Go-based LAN discovery tool with a modern terminal UI — fast, intuitive network exploration that shows who and what is on your local network.

  27. mise pins tool versions per project — Node, Python, Go, and more — in a single .mise.toml, replacing nvm, pyenv, and Makefiles with one unified tool.

  28. casq is a Rust CLI and library for content-addressed file storage — git-style deduplication without the overhead of a full version control system.

  29. A quick comparison of tmux and zellij as terminal multiplexers — zellij wins on discoverability with visible, mnemonic keybinds right out of the box.

  30. Practical techniques for sandboxing AI agents and limiting blast radius — filesystem restrictions, network controls, and permission scoping in production.

  31. Remap Caps Lock to Left Control for a more ergonomic keyboard layout — instructions for Debian/Linux via XKBOPTIONS and Windows via SharpKeys.