AK Adib Kadir

Field notes on enterprise AI
and the engineering factory

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#engineering-factory

14 posts

  1. 01 repo tool-brief / trending-repos A joke repo just made the best point about token economics Caveman, a Claude Code skill that cuts about 65 percent of tokens by talking like a caveman, went viral. The punchline is a real budget line.
  2. 02 article engineering-factory / agentic-coding AI as the engineering factory: copilots are stage one, not the strategy The third layer of enterprise AI redesigns how software gets built. A maturity model for going from individual assistants to an agentic delivery system.
  3. 03 model tool-brief / open-models GLM-5.2 and the open-weights step change for enterprise agents Z.ai's MIT-licensed flagship claims near-frontier agentic coding with a usable 1M-token context. The enterprise story is what this does to cost and data residency.
  4. 04 repo agentic-security / trending-repos Pentesting is becoming a pipeline stage Strix, an open source AI pentest agent, is trending. The interesting question for enterprises is not the tooling, it is who approves what the agent attacks.
  5. 05 repo tool-brief / trending-repos Superpowers: agentic skills as an operating methodology A 245,000-star framework for giving coding agents reusable skills. The signal is that agent capability is becoming a managed artifact, like code.
  6. 06 article agents / dokploy Build Agentic Preview Environments on Your Own VPS Build isolated pull request previews on your VPS with Dokploy, PostgreSQL, dedicated workers, safe credentials, tests, and automatic cleanup.
  7. 07 article agents / github How to Build a Safe Agentic Software Pipeline Build an agentic delivery pipeline where every pull request gets isolated code, data, workflows, tests, and a live Preview URL.
  8. 08 article vps / scaling Stop Overengineering Your App From Day One A cheap VPS can handle more traffic than most teams expect. Avoid premature complexity, tune the basics, and scale only when evidence demands it.
  9. 09 article ai / typescript AI Is Quietly Changing How You Should Pick a Tech Stack Tech stack choices now include an AI factor: training data, ecosystem maturity, and how reliably AI can help you ship and maintain code.
  10. 10 article nextjs / postgres How I built this site... or should I say guided my agents to build it? Discover how to build a fast, database-driven site with a static shell and cache-driven fragments using Next.js, Cache Components, and AI-assisted workflows.
  11. 11 article velocity / ownership PM, Dev, QA Are Merging: Meet the Rise of the Product Engineer Uncover how AI merges PM, dev, and QA into a single product engineer. Learn to specify user needs, criteria, and metrics to accelerate delivery.
  12. 12 article leadership / velocity Stop Blaming Your Engineers: The Real Reason They're Slow Stop blaming engineers: the perfection loop slows delivery. Learn how rapid deployments, feature flags, and real-time observability speed shipping.
  13. 13 article architecture / simplicity How to Ship Faster by Ditching 'Future-Proof' Over-Engineering Ship simple to learn fast: avoid premature, complex architecture for a future that may not exist. Discover how data should drive scale and momentum.
  14. 14 article velocity / leadership Tickets are comforting. Outcomes are accountable. Move from closing tickets to delivering real user value. Learn how redefining 'done' and ownership drives end-to-end impact and meaningful shipping.