Playbooks for AI-powered job hunting

Templates are dead. What recruiters actually read in 2026, and how to generate it consistently.

Rate limits, rotation, and recruiter psychology — how to run 50 applications a week and still get callbacks.

The five components every serious auto-apply system ships — and the failure modes of the cheap ones.

A grown-up framework for deciding when AI-driven applications are fair game — and when they cross into spam.

A technical breakdown of how modern ATS and LLM-powered resume screeners score candidates — and the clean, defensible way to rank higher.

LLM-assisted design is now fair game in most loops. Here's how to prepare for the new rubric.

GitHub is a hiring surface now. Here's what staff engineers pin — and what screams junior.

What Staff+ reviewers actually look for, and the resume pattern that moves candidates from 'maybe' to 'onsite'.

Brainteasers are out. Probabilistic reasoning and live coding are in. What to study and in what order.

The 2026 comp math, culture fit, and career optionality tradeoffs between fintech and legacy finance.

On-cycle, off-cycle, and diversity-track recruiting for IB analyst and associate roles — what still works.

Global comp bands, location adjustments, and the three numbers you need before the offer call.

Async interviews are faster and fairer — if you know what the reviewers are grading.

The remote market split into tiers in 2024. Here's where the top-tier jobs are posted — and where they aren't.

A reverse-engineered view of what the citation models reward — based on real jobr.pro traffic data.

How to describe your agent work so it reads like platform engineering — because at 2026 scale, it is.

What to include, how to evaluate it, and why it's replacing the side-project portfolio for senior hires.

What happens to the job market when every engineer ships at 3x throughput — and how to position yourself for it.