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Agents That Ship, Not Just Think: When LLM Self-Improvement Meets Release Engineering

Opening — Why this matters now LLM agents are no longer party tricks. They browse the web, patch production code, orchestrate APIs, and occasionally—quite creatively—break things that used to work. The industry’s instinctive response has been to make agents smarter by turning them inward: more reflection, more self-critique, more evolutionary prompt tinkering. Performance improves. Confidence does not. ...

January 11, 2026 · 4 min · Zelina
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From Prompting to Porting: Surviving the LLM Upgrade Cycle

If you’re running a GenAI-powered application today, you’re likely sitting on a ticking time bomb. It isn’t your codebase or infrastructure — it’s your prompts. As Large Language Models (LLMs) evolve at breakneck speed, your carefully tuned prompts degrade silently, causing once-reliable applications to behave erratically. The case of Tursio, an enterprise search tool, makes one thing painfully clear: prompt migration is no longer optional — it’s survival. The Hidden Cost of Progress In 2023, Tursio ran reliably on GPT-4-32k. By mid-2025, it had to migrate twice — first to GPT-4.5-preview, then to GPT-4.1. Each model came with its own quirks: ...

July 9, 2025 · 3 min · Zelina