Skills Tech Network
Articles
Verified technical talent and community: proof-based hiring signals, technical reputation, mentorship, and staffing in the AI era.
EU Regulation Is Coming for ChatGPT: What Engineers Building on LLM APIs Must Do Now
EU DSA scrutiny of ChatGPT signals tighter compliance requirements ahead. Here's what engineers shipping LLM-powered products must build into their stack now.
Internal Mobility by Proven Capability, Not Manager Memory
The best person for the project is often already inside, and invisible. Matching engineers to work by demonstrated capability instead of who a manager happens to remember.
The Hidden Cost of Staying at One Company Too Long
Loyalty has real career costs engineers rarely calculate. Here's how to measure what tenure is actually doing to your market value and portability.
Building a Technical Reputation That Travels With You Between Jobs
Reputation trapped inside one company disappears the day you leave. The specific habits that build reputation portable enough to survive a job change.
Mentor Debt: The Career Liability Engineers Carry Between Jobs
Most engineers change jobs and lose their mentors. Unacknowledged mentor debt compounds quietly, here's how to recognize and repay it.
When GPU Compute Becomes a Financial Asset: What Engineers Building on Rented Infrastructure Must Know
Nvidia's plan to financialize GPU compute changes the risk calculus for engineers and teams whose careers are built on third-party AI infrastructure.
Engineers Don't Trust AI in the C-Suite, and That Distrust Is a Hiring Signal Worth Reading
Young workers distrust AI executives. For engineering hiring managers, that sentiment reveals what proof-based reputation and human judgment still protect.
Model Tiering Is Now a Product Decision: What Engineers Building on LLMs Must Understand
OpenAI's split between Sol and Luna tiers signals a new era of model versioning. Here's what engineers building on LLMs must plan for now.
Vetting a Contractor or Consultant With Portable, Verifiable Proof
You cannot run a contractor through a full interview loop. Portable, verifiable proof of what they have actually built is how you de-risk the hire in an afternoon.
What Grok 4.6's Benchmark Score Actually Tells Engineers About Model Selection (And What It Hides)
Grok 4.6 scores 61 on the AI Intelligence Index. Here's what that number means for engineers making real tooling decisions, and what it can't tell you.
The Quiet Demotion: How Scope Erosion Ends Senior Engineering Careers Without a Single Conversation
Scope erosion is the silent career killer most senior engineers never see coming. Learn to recognize it, name it, and reverse it before it redefines you.
Reading a Candidate by Verified Skill Signals, Not Titles and Years
A senior title and ten years say less than one verified, demonstrated skill. How to read per-skill evidence and hire for what someone can actually do.
The Reputation You Lose When You Leave a Team Quietly
Most engineers focus on what they take from a job. The harder signal to track is the professional reputation left behind, and why it compounds invisibly.
Turning Open-Source Work and Answered Questions Into Hiring Evidence
Merged pull requests, reviewed designs, and accepted answers are proof a resume cannot fake. How to read public work as a real, honest hiring signal.
You Have No Idea What Your Colleagues Would Actually Say About You
Most engineers assume strong peer relationships translate into strong references. They rarely do. Here's the gap, and how to close it.
The Exit Interview Data Engineers Never See (And How It Shapes Their Next Offer)
Companies collect structured exit data on departing engineers. Almost none of it reaches the people it describes. Here is what that asymmetry costs you.
The End of the Take-Home Test: Verifiable Work Samples as the Real Signal
Take-home tests are slow, gameable, and resented. Verifiable samples of real work are faster and harder to fake. The case for retiring the take-home.
Staffing in the AI Era: What Actually Changes for Hiring Managers
AI raises the floor on code output and raises the bar on judgment. What that means concretely for how hiring managers should staff a team in 2026.
AI Companies Are Hiding Massive Debt: What Engineers Building on Their Infrastructure Need to Know
Off-balance-sheet AI debt isn't just a finance story. It's a platform risk signal every engineer evaluating AI tooling and their own career bets should read.
AI Companies Are Hiding Massive Debt: What Engineers Building on Their Platforms Actually Risk
Off-balance-sheet AI infrastructure debt isn't just a finance story. Here's what it means for engineers staking their careers on these platforms.
Mapping Your Internal Expert Graph: Who Can Safely Own Which System
When the person who understood a system leaves, the risk is invisible until it is not. How to map who can actually own each part of your stack before that happens.
AI Companies Are Hiding Infrastructure Debt: What That Means for Engineers Whose Careers Depend on Their Platforms
Off-balance-sheet AI debt isn't just a finance story. It's a career risk signal for engineers building on, or interviewing into, these platforms.
Post-Incident Reviews Are a Career Signal Most Engineers Waste
PIRs are one of the richest proof points for senior and staff engineers. Here's why most squander them and how to change that.
What Makes a Technical Community Actually Useful for Career Growth
Most engineering communities are a Slack full of noise. The specific structures, proof, mentorship, accountability, that make a community pay off for a career.