Five undocumented traps in Shopify’s Global Catalog API that make every AI visibility score a lie. 30 rounds of testing, 98.7% recall, and the invariants that caught my own tool hallucinating data.
Seven months of silence. Eleven applications. Four interviews. One contract. A field report on bypassing ATS latency, the multi-discipline bypass, and what five AI agents found that I couldn’t.
Everyone reporting AI visibility numbers is reporting a sample statistic as a fact. I did this job by hand for Google in 2008, and the discipline was better then.
The LLM is the most expensive stage in a matching pipeline, not the interface to it. I built a 3-gate funnel where 95%+ of jobs are filtered by SQL and vector similarity before any model call. Here are the real numbers.
Six parallel Inngest workers each held their own rate limit counter, blowing through a 2 req/s cap. Tests passed because they were sequential. Redis fixed it.
Cold CTO emails open at 22-30% and reply at 1-5%. Warm intros open at 60-80% and reply at 25-50%. Here is the data and when to use each.
Skip the ATS black hole. Use GitHub repos, engineering blogs, and Hacker News ‘Show HN’ threads to find unlisted engineering roles in 2026.
Build a senior developer portfolio that speaks impact: latency, revenue, risk, and ownership—not just code samples and GitHub links alone.
Software dev postings are rebounding in 2025–2026. See the data, the senior-role tilt, and what it means for direct-pitch timing.
Entry-level tech hiring dropped 20-67% due to AI automation, hiring corrections, and shifted expectations. Data-backed analysis plus practical pivots to B2B contracting and niche specialization for new devs.