Language Design Lab

• Contracts hold persistent state like uint storedData in a global database slot anyone can query or alter.
• Public functions and variables...

Python remains an effective entry point because its developers have long prioritized human interpretability, beauty, simplicity, and readability...

MLIR integration into the SkePU toolchain lets skeleton-based domain-specific models reach heterogeneous hardware more effectively through a designed and evaluated prototype.

• Tier-1 status reflects MSR team research goals to investigate memory-safety tools, not an official plan for systems conversion.
• Institutional...

Coding assistants deliver 55% faster tasks, yet the real constraints shift upstream and downstream.

• Intent first: Human judgment and user research...

F# offers stronger language features and built-in architecture support, yet C# dominates .NET.

• Same ecosystem keeps the comparison fair: shared...

ST-C2 uses security types with three tiers (L/M/H), lattice flow rules, PC labels, and labeled channels to statically block information leaks in...

Most enterprise AI agent projects stall after a convincing demo because no one defined success metrics upfront. Readiness gates—ROI baselines on cycle...

Large language models apply an implicit confidence threshold to decide whether to answer or abstain, with activation steering providing causal proof:...

Incremental implementation turns compiler theory into concrete skills by starting with lexer, parser, semantic analyzer, and code generator. This staged approach makes abstract language concepts directly actionable for developers.

What does it take to prove an ERC itself is correct, rather than each contract that claims to follow it?

• Semantic agreement must cover state...

Judging a language fairly means grasping the constraints its designers must balance.

• Safety vs performance: Adding checks or restrictions can...

Compilers provide optimization flags to improve performance during compilation, while also covering model compression techniques to lower the computational and environmental costs of large language models.

A structured primer shows syntax and semantics as the starting point for understanding programming languages, progressing to type systems and concurrency as advanced constructs. This foundation equips developers to grasp language design more deeply.

Julia combines Lisp-like flexibility with superior numerical libraries, letting applied mathematicians prototype algorithms clearly without major...

A systematic framework identifies and quantifies an LLM's syntactic knowledge of a given programming language. This approach reveals whether models truly grasp syntax or simply echo familiar patterns.

When does a framework become a programming language?

Apache Camel now ships its own runtime, standalone CLI, Kamelets, and DSLs in Java, XML, and...

Adding retrieval does not automatically create trustworthy outputs. Real systems break when models skip tools or retrieval quality collapses.

• An...

Many probabilistic programming languages specialize for particular kinds of probabilistic programs. This reflects inherent design trade-offs in expressiveness and inference focus.

C# 15 的联合类型将现有记录（如成功整数与错误文本）合并为编译器验证的单一契约，消除样板错误处理并强化模式匹配。 这与封闭层次结构共同限制第三方扩展，保持企业代码的兼容性和内存安全。