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Scoured 199997 posts in 33.6 ms
Type-driven design in automotive C: how much of my code is manual type checking?  🧮Functional Programming
lmilz.dev·5d·Hacker News
2 Mistakes, 1 weird trick, 27 years: an explainer of the OpenBSD SACK bug  🔀Concurrency
studiodemby.com·6d·Hacker News
Goto Considered Harmful: Why Event-Driven Is a Poor Architecture  ⚡Event-Driven Architecture
dbos.dev·4d·Hacker News
The Rust sidecar pattern that fixes Python AI’s biggest weakness  🐹Go
thenewstack.io·4d
Results of the Grand C++ Error Explosion Competition (2014)  🧮Functional Programming
news.ycombinator.com·3d·Hacker News
Model-Agnostic Lifelong LLM Safety via Externalized Attack-Defense Co-Evolution  💬LLM
arxiv.org·5d
Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support  🐹Go
arxiv.org·1d
Characterizing the Failure Modes of LLMs in Resolving Real-World GitHub Issues  💬LLM
arxiv.org·6d
Revealing Interpretable Failure Modes of VLMs  💬LLM
arxiv.org·5d
ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation  🤖AI Agents
arxiv.org·4d
EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents  🛠️AI Tools
arxiv.org·5d
Hybrid Analytical--EMT Method for HVDC Protection System Component-Level Design  🧪Software Testing
arxiv.org·6d
iamonah/verrors: Lightweight wrapper around go-playground/validator for structured JSON-aware validation errors in Go.  📘TypeScript
github.com·4d
Learning Responsibility-Attributed Adversarial Scenarios for Testing Autonomous Vehicles  🤖AI Agents
arxiv.org·5d
Monads and Distributive Laws in Substructural Contexts (Extended Version)  🧮Functional Programming
arxiv.org·5d
Show HN: Kapbit – A Kafka-powered workflow orchestrator for Go  🐹Go
github.com·6d·Hacker News
Falkor-IRAC: Graph-Constrained Generation for Verified Legal Reasoning in Indian Judicial AI  💬LLM
arxiv.org·4d
Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization  🤖AI Agents
arxiv.org·5d
LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues  💬LLM
arxiv.org·6d
Multi-Narrow Transformation as a Single-Model Ensemble: Boundary Conditions, Mechanisms, and Failure Modes  💬LLM
arxiv.org·6d

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