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TonyBai
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TonyBai

Tony Bai's tech world (tonybai.com). Not satisfied with just "knowing how", we strive for mastery. Focused on Go language internals, high-quality engineering practices, and cloud‑native architecture, exploring cutting‑edge intersections of Go and AI. Gophers who pursue technology are welcome—follow me and evolve with Go.

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Recent Articles

Latest from TonyBai

100 recent articles max
TonyBai
TonyBai
May 7, 2026 · Backend Development

Why an AWS Evangelist Calls Go’s Concurrency a Joke Compared to JVM’s Superior Model

The article revisits the heated debate sparked by AWS evangelist James Ward, who argues that Go’s concurrency primitives are inferior to the JVM’s virtual threads, structured concurrency, and effect systems, using a demanding connection‑pool challenge to illustrate the trade‑offs and guide architects in choosing the right model for their workloads.

Backend ArchitectureConcurrencyEffect Systems
0 likes · 11 min read
Why an AWS Evangelist Calls Go’s Concurrency a Joke Compared to JVM’s Superior Model
TonyBai
TonyBai
May 4, 2026 · Industry Insights

How AI Could Lead Us All into a Double‑Loss Trap, According to a New Academic Paper

A recent economics paper models AI‑driven layoffs as a prisoner's‑dilemma competition that pushes firms into an over‑automation arms race, ultimately collapsing both corporate profits and workers' incomes, and evaluates why common remedies like UBI or upskilling fail while proposing an automation tax as the only viable brake.

AIAutomationautomation tax
0 likes · 10 min read
How AI Could Lead Us All into a Double‑Loss Trap, According to a New Academic Paper
TonyBai
TonyBai
May 2, 2026 · Artificial Intelligence

From Vibe‑Coding to Agentic Engineering: Andrej Karpathy’s Survival Rules for AI‑Era Programmers

Andrej Karpathy warns that the seductive “Vibe‑Coding” approach will soon become obsolete, urging developers to adopt “Agentic Engineering” by building guardrails, evaluation systems, and embedding their own judgment, while recognizing AI’s jagged intelligence, shifting from implementation to design, and envisioning a Software 3.0 future.

AI engineeringAgentic EngineeringKarpathy
0 likes · 11 min read
From Vibe‑Coding to Agentic Engineering: Andrej Karpathy’s Survival Rules for AI‑Era Programmers
TonyBai
TonyBai
Apr 29, 2026 · Fundamentals

Go 1.27 Enables Default SIMD on amd64 and Introduces Portable SIMD Package

Go 1.27 will turn on the simd/archsimd package by default on amd64, while a new portable simd API proposal adds architecture‑independent vector types and operations, offering a two‑layer design that balances low‑level performance with Go’s emphasis on readability and portability.

GoLanguage DesignPerformance
0 likes · 11 min read
Go 1.27 Enables Default SIMD on amd64 and Introduces Portable SIMD Package
TonyBai
TonyBai
Apr 27, 2026 · Industry Insights

Why Render Sticks with Go and Never Plans to Rewrite Its Load Balancer in Rust

The article dissects Render's claim that its Go‑based load balancer processes over 150 billion requests monthly, why the team sees zero reason to rewrite it in Rust, and how this debate reveals deeper engineering trade‑offs between Go's simplicity and Rust's performance, especially at massive scale and in the AI era.

AIEngineering PhilosophyGo
0 likes · 10 min read
Why Render Sticks with Go and Never Plans to Rewrite Its Load Balancer in Rust
TonyBai
TonyBai
Apr 26, 2026 · Industry Insights

Martin Kleppmann on the New DDIA: How AI Will Disrupt Distributed Systems

In a deep interview, Martin Kleppmann explains why the upcoming second edition of Designing Data‑Intensive Applications rewrites core assumptions, declares MapReduce dead, predicts AI‑driven formal verification, warns of a talent gap, and champions local‑first software as the next frontier of distributed systems.

AICloud PrimitivesDDIA
0 likes · 10 min read
Martin Kleppmann on the New DDIA: How AI Will Disrupt Distributed Systems
TonyBai
TonyBai
Apr 23, 2026 · Artificial Intelligence

Why a HashiCorp Founder Says AI Made Him Re‑Love Go

The article examines Mitchell Hashimoto’s reversal on Go, showing how AI agents turn the language’s once‑criticized ergonomics and simplicity into strengths, and why both Hashimoto and Wes McKinney now view Go—often paired with Zig—as the optimal platform for AI‑driven software engineering.

AI agentsGoLLM
0 likes · 14 min read
Why a HashiCorp Founder Says AI Made Him Re‑Love Go
TonyBai
TonyBai
Apr 19, 2026 · Artificial Intelligence

Thin Harness, Fat Skills: Garry Tan’s AI Engineering Secrets for 1000× Efficiency

Garry Tan explains that the massive productivity gap among AI agents stems from bloated harness layers and weak skills, proposing a "Thin Harness, Fat Skills" architecture—four‑function harnesses, reusable markdown skill files, resolvers, latent‑vs‑deterministic separation, propensity analysis, and perpetual skill upgrades—to achieve up to a thousand‑fold efficiency gains.

AI agentsEfficiencyGarry Tan
0 likes · 10 min read
Thin Harness, Fat Skills: Garry Tan’s AI Engineering Secrets for 1000× Efficiency