Engineers Finally Admit The Shocking Truth About Their Own Career Peak
By 813 Staff
Privately, some of the most influential engineers in Silicon Valley are voicing concern that the industry’s talent pipeline is quietly fracturing. The unease stems from a provocative thread posted last week by Boris Cherny (@bcherny), a well-known engineer and compiler expert who previously shaped front-end infrastructure at Meta. In his post, Cherny argued that the archetype of the “best engineer” has shifted in a way that few senior leaders are willing to acknowledge publicly. Internal documents circulating at two major consumer-app companies suggest his observations have struck a nerve, with executives now debating whether their hiring bar has become misaligned with actual product needs.
Cherny’s central claim, pieced together by engineers close to the project who reviewed internal Slack channels, is that the industry is no longer rewarding deep systems thinking or architectural rigor. Instead, he contends, the most effective engineers today are those who can rapidly prototype, ship experimental features, and navigate the messy realities of AI-generated code. This has created a quiet schism: veteran engineers who built the infrastructure of the last decade are being outperformed in product velocity by younger engineers comfortable with toolchains that prioritize speed over correctness. One engineering director who read the thread told 813 Morning Brief that “the rollout has been anything but smooth” when it comes to adapting performance reviews to this new reality.
The timing is significant. Over the past six months, several high-profile consumer apps have shipped features that were written almost entirely with AI assistance, a practice that would have been unthinkable three years ago. Engineers close to the project at a prominent photo-sharing app say that teams are now explicitly evaluated on iteration speed, not code quality metrics. Cherny’s thread has become a reference point in internal debates about whether this shift is a natural evolution or a dangerous erosion of craftsmanship.
What happens next remains uncertain. Multiple sources indicate that at least two major app companies are forming internal task forces to re-evaluate their engineering growth ladders. Cherny’s argument suggests that without a deliberate recalibration, the industry risks losing the engineers who can debug the most intractable problems—the ones that AI tools cannot yet solve. For now, the conversation he started has moved from a Twitter thread to the boardrooms of Silicon Valley’s most secretive product teams.
