How MAC Addresses Help Identify Network Devices — and Where They Fall Short

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A MAC address is a 12-digit identifier assigned to every network device, with the first half indicating the chip manufacturer based on publicly available IEEE registries. However, the second half is a private serial number that reveals nothing about the specific device or its owner. Modern smartphones and laptops routinely generate randomised MAC addresses per Wi-Fi network, meaning many devices will not match any registry entry at all. To fully identify an unknown device, additional signals such as hostnames, open network ports, and connection behaviour patterns are needed alongside the vendor lookup. Tools like router client lists, network scanners, and built-in OS commands can help gather these details for a more complete picture.

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Rungraph turns AI coding agent session logs into queryable, shareable graphs

A developer has released Rungraph, a free, MIT-licensed open-source tool that converts session transcripts from coding agents like Claude Code, Codex CLI, and Hermes into interactive visual graphs. The tool scans existing session logs stored on disk and displays tool calls, errors, retries, and subagent actions in a timeline-based graph without requiring any additional setup or wrappers. Via an MCP integration, users can query past or live agent sessions in natural language directly from their terminal, with relevant graph nodes automatically highlighted in response. Rungraph also supports cross-team collaboration by allowing sessions to be exported as a single file that teammates can open and query in their own dashboard, regardless of which coding agent they use. The project aims to replace the common practice of manually scrolling through thousands of lines of raw session logs to understand what an AI agent actually did.

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ProgrammingDEV Community ·

Switch AWS EBS Volumes from gp2 to gp3 Online and Save 20% on Storage

AWS gp3 EBS volumes cost $0.08 per GB-month compared to $0.10 for gp2 in us-east-1, a roughly 20% reduction, while also including 3,000 IOPS and 125 MB/s throughput as baseline at no extra charge. Unlike gp2, which ties IOPS directly to volume size, gp3 decouples performance from storage capacity, eliminating the need to over-provision disk space just to gain more IOPS. Migration from gp2 to gp3 can be performed live using a single AWS CLI modify-volume command, with no downtime, no snapshot, and no need to detach the volume. One key caveat applies to large gp2 volumes — those above roughly 1 TB — which may already deliver more than 3,000 IOPS due to gp2's scaling model, so workload needs should be verified before migrating. AWS restricts volume modifications to once every six hours per volume, so migrations across multiple volumes should be planned and paced accordingly.

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ProgrammingDEV Community ·

AI Code Generation Shifts Bottleneck to Review, Data Shows Oversight Declining

Anthropic's Opus 5 promises self-verification during code generation, but developers report the real problem has shifted to reviewing the large volumes of AI-produced code rather than writing it. Industry data underscores the trend: Faros AI analyzed telemetry from 22,000 developers and found median code review time rose 441.5%, while unreviewed pull request merges climbed 31.3%. LinearB's study of 8.1 million pull requests found AI-assisted PRs are 2.6 times larger than hand-written ones and wait more than five times longer before a reviewer picks them up. Developers describe a pattern called 'vibe merging,' where overwhelming code volume leads to cursory diff skims or instinct-based approvals, with one benchmark being a 300-plus-line diff approved in under three minutes. A Stack Overflow 2025 survey reinforces the concern, with 46% of developers distrusting AI output accuracy and 66% citing 'almost right, but not quite' answers as their top frustration — exactly the class of bug most likely to slip through a rushed review.

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ProgrammingDEV Community ·

Polymarket Shifts Crypto Contracts to 60-Second TWAP Settlement via Chainlink

Polymarket has updated the settlement mechanism for its short-duration crypto Up/Down markets — covering 5-minute, 15-minute, and 4-hour contracts — to use a 60-second Time-Weighted Average Price (TWAP) sourced from Chainlink, replacing the previous 30-second or snapshot-based approach as of August 14. A TWAP calculates the average asset price over a trailing one-minute window, meaning the final settlement reflects a smoothed price rather than a single instantaneous tick. This change significantly raises the cost and difficulty of price manipulation, as an attacker must now sustain a distorted price for a full minute rather than exploiting a brief wick at expiry. For traders and algorithmic systems, last-tick sniping strategies lose most of their edge, and any models calibrated to the older 30-second series will produce systematic errors until recalibrated. The shift is expected to improve overall market integrity and reduce settlement sensitivity to microstructure noise, though it also lowers responsiveness to genuine but very short-lived price moves.

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