Programming Languages Benchmark
A GitHub project by riturajshakti benchmarks programming languages including Zig, C, Rust, and Go on a large CSV workload, with Zig 0.16.0 and above ranking top in speed. The benchmark uses streaming/…
A GitHub project by riturajshakti benchmarks programming languages including Zig, C, Rust, and Go on a large CSV workload, with Zig 0.16.0 and above ranking top in speed. The benchmark uses streaming/…
A new analysis by Dan Luu challenges the claim that token-efficient languages like Clojure and J are better for AI coding agents. Luu found that on real-world tasks, popular languages like Python and …
A widely cited blog post by Martin Alderson claims dynamically typed languages are more token-efficient for LLMs, with Clojure at 109 tokens and J at 70 tokens versus C's 2.6x higher cost, but a new a…
Ast-grep rewrote Tree-sitter's C core in Rust, achieving a 29.74% throughput increase in raw parsing and a 22.2% reduction in user CPU time for ast-grep's outline benchmark, though peak memory rose 29…
A staff engineer describes using large language models (LLMs) for writing production code, throwaway code, learning new domains, and last-resort bug fixes, finding them most valuable for non-productio…
Linus Torvalds said at Open Source Summit India 2026 that he is more excited about automated patch verification tools for C than about Rust, which he said fixes only easy bugs and does not prevent log…
A Hacker News user argues that the current AI hype cycle is driven by narrative rather than substance, and suggests shifting the discourse toward determinism and traditional programming languages like…
A developer demonstrates how eBPF can be used for observability in AI-generated services, providing a practical guide with Go and C. The article argues that eBPF is the future of observability due to …
A developer released 10 single-file game apps using a 61-atom hash-table lattice that replaces traditional game logic with O(1) lookups, achieving sub-microsecond response times and zero dependencies.…
Vivek Painjane, a developer based in India, builds practical software projects including web apps, backend tools, and AI-powered ideas. His tech stack includes Python, TypeScript, HTML, and C, and he …
HoprLabs, a new open-source Python CLI and research toolkit, launched to simulate AI training math, estimating model size, memory usage, training time, and token budget before costly model training. T…
At the Open Source Summit India in Mumbai, a developer reported that India has become the second-largest contributor to open source globally and the fastest-growing OSS developer base. Linus Torvalds …
Anthropic's Claude Mythos successfully extended a Fortran-to-C transpiler to also support C++, fixing 14 bugs and passing 44 of 86 test targets in a GARCH volatility project. The AI worked for 2.5 hou…
Loop unrolling, a classic compiler optimization, is experiencing a resurgence in the machine learning era as a critical technique for maximizing throughput on modern compute architectures like SIMD ve…
A new empirical study comparing Python, C, C++, Rust, Go, and Julia for AI algorithms found that C and C++ are the fastest, with Rust trailing by 9%, while Python runs 315x slower. Memory usage varied…
A developer explains the internal architecture of CPython, the standard Python interpreter, detailing how Python source code is tokenized, parsed, compiled into bytecode, and executed by the Python Vi…
A developer ported a C stress test to Clojure and achieved near-parity performance (0.86 ms vs 0.70 ms per frame) by using the JVM Vector API, static final species references, macros, and JDK 25, demo…
Guardog, a zero-copy C/Python DFA engine, scrubs logs at 571 MB/s, operating 14.4x faster than standard Python regex by bypassing the GIL and using in-place memory mutation. The engine is available fo…
Python's performance in the benchmarks game is roughly 40 times slower than C or C++, yet it remains the dominant language for data analysis and machine learning because core libraries like NumPy, Ten…
Argus, a new desktop coding assistant, has launched with a multi-agent architecture that simulates a real-world software team to autonomously execute coding tasks. The tool uses four AI roles—Project …