Engineering leadership. Distributed systems. Software craft.
Engineering leader and software engineer based in Berlin. 15+ years building distributed systems and platform infrastructure across fintech, e-commerce, and logistics. Currently engineering leader and site lead at Wayfair.
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- How to Switch Between Multiple Claude Code, Codex CLI, and Gemini CLI Accounts Without the Credential Mess
AI Switcher, or aisw, lets me switch between multiple Claude Code, Codex CLI, and Gemini CLI accounts with named profiles, reusable contexts, safer credential switching, and one status command.
- Project `aisw` : Switching Between Multiple Accounts in Claude Code, Codex CLI, and Gemini CLI
None of the major AI coding CLIs support multiple accounts natively. I built aisw, a lightweight CLI tool to manage and switch between credential profiles across Claude Code, Codex CLI, and Gemini CLI with a single command.
- Code Is Cheap. Guarantees Aren’t
If models write more of the code and humans increasingly review, constrain, and verify it, then popularity in the human-coded era is not the same thing as fitness for the next one. The harder problem is no longer just producing code. It is building stacks that can survive cheap generation without collapsing under ambiguity, review burden, and correctness debt.
- The Pull Request is Dead: Surviving the AI Code Avalanche
Code production is no longer our bottleneck. The newfound velocity of AI coding agents hasn't solved our problems; it has simply moved the bottleneck further down the pipeline, creating massive SDLC backpressure. The human "Looks Good To Me" on a PR is now the single biggest liability in deployment. It’s time to stop acting like typists and start acting like architects.
- AI Made Coding Cheap. Coordination Is Still Expensive
AI dramatically accelerated individual coding and local execution. End-to-end delivery barely moved. We optimized leaf-node execution but left the tree structure completely manual. Business intent (“add fraud detection”) decomposes into tasks across teams, each carrying implicit assumptions that only conflict during integration. Performance budgets, data freshness requirements, and retry semantics remain undiscovered until week 8 of 10. AI can breeze through well-defined tasks with deterministic verification. But getting from business requirement to that well-defined task? That’s where projects die.