Skills Tech Network
Articles
Verified technical talent and community: proof-based hiring signals, technical reputation, mentorship, and staffing in the AI era.
How to Assess Engineering Work Samples Under NDA
Use a permission-aware evidence matrix and a practical rubric to assess engineering judgment without confusing a safe work sample with verified past contribution.
Assess Engineering Skill, Not Permission to Publish
Use a confidentiality-safe evidence matrix to assess engineering candidates, distinguish demonstrated reasoning from verified past delivery, and choose consistent follow-ups.
When Open Source Contributions Stop Counting as Hiring Proof
Not all open source work signals the same thing to hiring managers. Learn which contribution types carry weight and which get ignored at senior levels.
What Hiring Managers Actually Discuss in Your Technical Interview Debrief
The real criteria hiring committees use after your interview rarely match the job description. Here is what engineers need to know.
Your Reference Network Decays Faster Than Your Resume Does
The engineers who vouched for you two jobs ago can't describe your current work. Here's why live proof beats a reference call you can't control.
Why Contract-to-Hire Conversions Fail Senior Engineers Who Lack Portable Proof
Contract-to-hire sounds like a safe path to a staff role, but without portable proof of impact, engineers lose leverage at conversion time.
The Peer Feedback Loop Most Senior Engineers Never Build
Why senior engineers who skip structured peer feedback stall promotions and how to build a credible loop that creates portable proof of impact.
The Peer Feedback Gap: Why Most Engineers Never Get Input That Changes Their Trajectory
Most engineering peer feedback is vague or political. Here is how to build the feedback loops that actually sharpen your technical reputation.
The Scope Transfer That Never Gets Documented
When engineers move on, critical ownership quietly shifts to whoever is nearby. Here is why undocumented scope transfer is a career and system risk.
Quiet Attrition: Why Senior Engineers Stop Raising Concerns Before They Quit
Senior engineers disengage long before they resign. Learn to spot the silence that precedes departure and what it costs teams when it goes unaddressed.
What the Artificial Analysis Intelligence Index Gets Right, and What Engineers Should Measure Instead
Benchmark leaderboards rank models, not engineers. Here's how to build hiring signals and career proof that survive model churn.
What a Go Grandmaster Beating KataGo With a Handicap Tells Engineers About Proof-Based Reputation
When human expertise defeats AI under harder conditions, it reframes what verified skill actually looks like, and why engineers need proof, not just credentials.
What Shin Jinseo Beating KataGo Teaches Engineers About the Limits of AI Evaluation
A Go grandmaster just defeated a top AI system. Here's what that signal means for engineers who evaluate, hire, or build on AI-assisted tools.
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.