How AI-Powered Traffic Systems Can Replace Fixed-Timer Signals in Cities

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Traditional traffic lights rely on pre-programmed, fixed timers that cannot adapt to real-time road conditions, leading to congestion, longer travel times, and higher fuel consumption. Smart traffic systems aim to replace this static approach by continuously collecting data from sensors, cameras, GPS, and weather instruments to make dynamic decisions. An AI or machine learning model processes this data to determine optimal signal phases, durations, and lane usage at each intersection. Such systems can also prioritize emergency vehicles and improve public transport punctuality by responding to live traffic conditions. The article outlines a simplified pseudocode framework illustrating how these components — data ingestion, ML-based phase selection, and light control — could work together in a real-world deployment.

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Developer builds Brainfuck-to-JVM compiler from scratch using pure Node.js

A developer documenting JVM internals chose Brainfuck, the esoteric programming language created by Urban Müller in 1993, as a minimal test case for building a compiler from scratch. The project, called BrainJuck, aims to compile Brainfuck source code into valid JVM bytecode (.class files) runnable directly with the Java runtime. This first installment in a three-part series covers building an interpreter, which serves as the foundation for the full compiler. The interpreter parses Brainfuck's eight commands into an intermediate representation, handling loop jumps via a stack-based placeholder mechanism. No external dependencies or frameworks are used — only Node.js and its native test runner.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

How One KNX Config Mistake Led to Better Home Assistant Motion Lighting

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ProgrammingDEV Community ·

How a Dead Man's Switch Can Alert You When Your Monitoring Stack Fails

A monitoring system has a critical blind spot: it cannot reliably detect its own failure, meaning outages can go unreported if the stack itself goes down. The solution is a 'dead man's switch' built using a Prometheus Watchdog alert with a condition that is always true, causing it to fire continuously as long as the pipeline is healthy. This constant alert is routed to an independent external heartbeat service, which expects regular check-ins from Alertmanager. If Prometheus, Alertmanager, or the delivery path fails, the heartbeat stops refreshing and the external service triggers a notification through a separate channel. The key principle is independence: the system watching for monitoring failure must run on infrastructure that is completely separate from the monitoring stack itself.

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