Created by Leo poppy
Deep-dive essays on programming language theory, design, and software engineering best practices
Explore the latest content tracked by Language Design Lab
Effect systems arise as abstract interpretations, abstracting a set of program semantics to the union of all program types whose concretizations include the semantics in question. This view grounds effect tracking in semantic abstraction.
Vx is a heterogeneous-systems language that encodes hardware placement and reachability directly in the type system. This design targets safer, more portable code across diverse chips while accepting added language complexity.
Set-theoretic types handle expressive records via unions and negations but miss row polymorphism for propagating unknown fields.
Regular expressions can capture the essence of Rust's borrow mechanism independently of the compiler's current implementation. This points toward cleaner, more abstract formalizations of ownership.
Common Lisp remains distinctive because its code is data—nested s-expressions that programs can read and extend from within. The language has needed...
Specifications can approach the 'real source code' by capturing enduring business commitments rather than implementation details. Yet natural language...
Zig targets robust, optimal, and reusable software through deliberate language choices.
SVF is a tool that enables scalable and precise interprocedural static value-flow analysis for C programs in LLVM, directly supporting more accurate whole-program reasoning for reliability and security tooling.
Within unified architectures, language-aligned semantics can act as a global addressing system, allowing linguistic queries to retrieve relevant modules. This highlights architectural potential for coordination in modular AI.
A hybrid approach to end-to-end Rust verification automates proofs over safe code while applying targeted manual effort to unsafe or semantically complex portions.
No backend language wins every workload in 2026. The right pick depends on what you're building, who's building it, and required libraries.
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Kenneth C. Louden's book delivers an in-depth exploration of the theoretical foundations and practical aspects of compiler construction, framing it as a lasting engineering discipline.
SemQL delivers a single declarative language that encodes semantics, business rules, and governance so humans, apps, and AI agents share one...
Professor Josh Dever's Daily Logic and Daily Semantics projects deliver short ~200-word lessons each day to gradually develop real expertise. With...
LLMs can reliably automate early ML pipeline construction by inferring both data domain and prediction task from dataset information alone,...
Agentic AI succeeds only when models connect reliably to data, context, and existing workflows—model improvements alone fall short.
This overview connects core phases like compiler-interpreter differences and lexical analysis directly to building real programming languages and toolchains.
