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.
Elixir creator José Valim argues that as AI agents write most code, programming languages must optimize for agents not humans, proposing program databases to replace LSP and runtime observability to replace debuggers, while debating community survival and compiler relevance.
Tony Bai analyzes three months of activity on Go's 171 accepted-but-unimplemented proposals, finding 31% updated recently but cautioning that issue updates ≠ implementation; he introduces a four-level progress framework and examines three cases: composite literal type inference slated for Go 1.28, h2c package deprecation completed in six months, and execabs migration with only CL activity so far.
Anthropic replaced Git with Scion, a custom version control system built by 7 engineers in 5 months to handle 30,000 daily merges from AI-generated code, achieving 200x infrastructure reduction, 100x faster checkouts, and 25% CI CPU savings through a server-centric, content-addressable design with sparse checkouts and derived data indexes.
Filippo Valsorda updates the Cryptographic Right Answers for 2026, mandating post-quantum migration by 2029: symmetric crypto stays with 256-bit keys, but all asymmetric algorithms change to X25519+ML-KEM-768 for key exchange, ML-DSA-44 for signatures, and HPKE for encryption, with TLS library and tooling recommendations.
The article presents a debugging methodology for AI-generated code based on three production incidents, advocating a constraint-satisfaction approach where agents collect immutable facts before forming hypotheses, use control comparisons to isolate strong signals, and verify against all evidence to avoid hallucinated fixes.
Vercel incrementally migrated Turborepo from Go to Rust, overcoming cross-platform hurdles like Windows UNC paths and Alpine musl incompatibilities via JSON serialization and separate binaries, but CEO Guillermo Rauch now calls the ROI 'controversial' as AI agents lower migration costs and shift language selection priorities.
Praneos Labs benchmarked 26 Go versions (1.2 to 1.27) on identical hardware, revealing three performance phases: compiler overhaul (1.5–1.7), a seven-year throughput plateau (1.8–1.23) focused on GC latency, and recent runtime optimizations (1.24–1.27) delivering an 11.5% speedup over 1.23, with map-heavy and allocation-heavy code benefiting most while numeric loops stagnated since 1.7.
This article explains why native CLI tools written in Go and Rust increasingly use npm for distribution, detailing three packaging patterns, a deep dive into Feishu CLI's implementation, and a step-by-step guide to publishing a Go binary via npm with practical pitfalls.
Tony Bai analyzes how Kubernetes, CNCF, Cilium, and OpenTelemetry are fundamentally redesigning cloud-native primitives—scheduling, resource allocation, sandbox runtimes, gateways, and observability—to support stateful, bursty AI agents, proving cloud-native isn't obsolete but evolving its foundational interfaces.
A Cambridge CASP working paper with experts like Hinton and Bengio analyzes how AI automating its own R&D could trigger a recursive intelligence explosion, potentially accelerating progress 10x in 1.5 years, while highlighting bottlenecks like compute, data, and diminishing returns, and urging governance preparation.
