webtrail Brian · My field notebook for trails and the web
22 stops in the catalog

Catalog

Every stop that sits on a trail, kept as an entry of its own. One external site each, opened and read, with a line on why it earned its place.

Category AI and Developer Psychology AI datacenters Camera Reviews Hiking
Keyword 35mm film 35mm prime ai coding assistants ai generated code ai hardware ai pair programming backcountry skills backpacking berkeley lab carbon footprint code review cognitive bias cognitive load compact camera compute demand data center capacity data center energy efficiency data center siting data center water use data centers data provenance day hike decision making declination deskilling developer burnout developer productivity developer trust eeg electricity demand electricity rates embodied carbon energy consumption energy estimates eye tracking film photography fujifilm x-t5 generative ai geographic concentration grid stress growth trends hiking gear hyperscale japan job demands junior developers learning to code life-cycle assessment literature review llm assisted development local impact map and compass market share minimal gear mirrorless nasa tlx navigation olympus trip 35 one camera one lens packing list point and shoot randomized controlled trial research research methodology ricoh gr iiix selection bias skill formation tax incentives ten essentials tpu travel photography water filters water footprint water treatment water usage effectiveness wellbeing wue
arXiv abstract page under the breadcrumb “Computer Science > Human-Computer Interaction”, titled “Using Biometrics to Understand AI-Assisted Coding Performance and its Perception”, submitted 19 May 2026, with eight author names, the full abstract describing the EEG, eye-tracking, electrodermal and NASA-TLX measurements, a comments line reading “Stage 2 RR under review at EMSE” with the Stage 1 protocol on OSF, and an “Access Paper” sidebar of PDF, HTML and TeX links. AI and Developer Psychology

Biometrics of AI-Assisted Coding Workload, on arXiv

arXiv hosts the preprint of a multisite study that wires developers up to sensors while they code with and without an...

 arXiv abstract page under Computer Science > Software Engineering, headed "Cognitive Biases in LLM-Assisted Software Development", submitted 12 January 2026 by six authors, showing the full abstract and a metadata block listing 13 pages, 6 figures, 7 tables and a related ACM DOI. AI and Developer Psychology

Cognitive Biases in LLM-Assisted Development on arXiv

This arXiv preprint is a rare attempt to measure how developers think while working with a language model, rather...

 Screenshot of an arXiv abstract page under the breadcrumb 'Computer Science > Software Engineering', showing the paper title 'Same Scrutiny, More Time: Eye Tracking Insights into Reviewing LLM-Labelled Code', its five authors, the full abstract, a comments line noting acceptance at ASE 2026, and an 'Access Paper' sidebar linking to PDF, HTML and TeX source. AI and Developer Psychology

Eye-Tracking Study of LLM-Labelled Code Review on arXiv

arXiv hosts the preprint of "Same Scrutiny, More Time", an eye-tracking study of what software engineers actually do...

 arXiv abstract page under the breadcrumb Computer Science, Software Engineering, headed From Gains to Strains: Modeling Developer Burnout with GenAI Adoption by Zixuan Feng, Sadia Afroz and Anita Sarma, with the full abstract about a survey of 442 developers analysed with PLS-SEM, a CC BY licence badge, and a submission history listing version 1 from October 2025 and version 2 from January 2026. AI and Developer Psychology

From Gains to Strains: Developer Burnout Study on arXiv

arXiv hosts the preprint "From Gains to Strains," in which Zixuan Feng, Sadia Afroz and Anita Sarma ask what...

 Anthropic research page tagged Alignment, headed "How AI assistance impacts the formation of coding skills", dated Jan 29 2026, with a "Read the paper" button above a large illustration of printed sheet music covered in a grid of bright red dots. AI and Developer Psychology

How AI Assistance Shapes Coding Skills, from Anthropic

Anthropic published a randomized controlled trial in January 2026 that asks what most tooling debates skip: not...

 METR blog post headed 'We are Changing our Developer Productivity Experiment Design', contributed by Joel Becker, Nate Rush, Tom Cunningham, David Rein and Khalid Mahamud and dated February 24 2026, with opening paragraphs recapping the earlier 20% slowdown finding and explaining why the new experiment's data is an unreliable signal, beside a sidebar table of contents and a newsletter subscribe box AI and Developer Psychology

METR on Why Its AI Productivity Experiment Stopped Working

METR is a research nonprofit that studies AI systems, and this February 2026 post is a rare thing: an institute...

 METR blog page titled 'Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity', with a summary paragraph reporting that developers take 19% longer when using AI tools, a byline crediting Joel Becker, Nate Rush, Beth Barnes and David Rein dated July 10 2025, and a yellow warning callout below reading 'These results are out of date' beside a link to results current as of early 2026. AI and Developer Psychology

METR's Randomized Trial of AI Coding Tools on Real Issues

METR is an AI research nonprofit, and this July 2025 study measures something usually argued from anecdote: whether...