jeremyckahn.github.io

Observe and Report (jeremyckahn.github.io) is a personal blog, not an official publication. It is hosted on a GitHub Pages subdomain, which is the default hosting space GitHub provides to an individual account, and its content is a dated list of essay-style posts rather than product documentation, company announcements, or editorial content from an organization. Treat what you read there as one person's commentary and analysis, not as a vetted institutional source.

What the evidence shows

The site's own page presents a single heading, "Observe and Report," followed by a "Posts" section. That structure — a title plus a reverse-chronological list of dated entries — is the standard shape of a personal blog.

The absence of pricing or payment signals matters for classification: there is no indication the site sells anything, which is consistent with a personal writing project rather than a commercial or official outlet.

The writing reads as opinion, not documentation

The post titles themselves signal a first-person, argument-driven style rather than neutral reference material. The listed posts include:

• "Where the Agentic Winds Blow: Moving at Machine Speed" (2026-09-01)
• "The Modern Tech Career: A Survival Guide" (2026-08-17)
• "So it Seems" (2025-02-17)
• "LLMs and the Total Eclipse of the LSP" (2025-02-03)
• "Local AI is the Only AI" (2024-12-02)
• "A Future of the Web" (2024-07-28)
• "Unkillable Apps" (2023-11-05)
• "The Agony and Ecstasy of PWAs" (2023-11-03)
• "YAB: Yet Another Blog" (2023-10-31)

Titles like "Local AI is the Only AI" and "The Agony and Ecstasy of PWAs" are declarative and evaluative — they stake out a position. That is the register of a personal essay, not a specification, changelog, or official policy document. The recurring themes are web development, AI/LLMs, and software tooling, which fits an individual developer writing about their field.

How to use it as a source

Because this is individual commentary, calibrate your use of it accordingly:

• Use it for perspective, opinion, and framing on web and AI topics — useful for seeing how one practitioner thinks about a trend.
• Do not use it as authoritative documentation for a product, API, or standard. There is no indication of editorial review or organizational backing.
• Check the date. The posts span 2023 through 2026, and fast-moving topics like LLMs and agentic tooling can date quickly. A 2024 post on local AI may not reflect 2026 conditions.
• Verify claims independently before relying on them for a decision, especially where a post makes a strong assertion.

Quick answer

If you are deciding whether to cite or trust this site: it is a personal blog by an individual developer, published on GitHub Pages, covering web development and AI through opinionated essays. It is a reasonable source for a practitioner's viewpoint and a poor source for official facts, product details, or anything requiring institutional authority.

Observe and Report is a personal blog published at jeremyckahn.github.io. It is hosted on GitHub Pages and consists of dated essay-style posts, primarily about software development, AI and large language models, web technology, and the tech industry. If you are looking for a developer's commentary and opinion writing rather than documentation, product pages, or a company site, this is what you will find there.

What the site contains

The homepage presents the blog under the heading "Observe and Report," with a single section labeled "Posts." Content is organized as a reverse-chronological list of dated entries. Based on the available page evidence, the posts are:

Who publishes it and how it is written

The site is a personal blog rather than an organizational publication. The writing is first-person developer commentary: essays and opinion pieces on tools, workflows, and industry trends. The post titles indicate recurring themes — AI agents, LLM tooling, local AI, progressive web apps, and career advice for people working in technology.

What it is not

• It is not a product site or a company blog; there is no indication of commercial offerings.
• The page evidence shows no pricing information, subscription links, or payment platforms, so nothing about cost or access terms can be assumed from the site itself.
• It is not a documentation hub or reference manual; the format is dated posts, not structured guides.

When this site is useful to you

• You want a developer's perspective on AI tooling and web technology trends.
• You are browsing essay-style writing on tech careers and the direction of the web.
• You want to read posts in date order and follow how the author's views develop over time.

If you need official documentation, product specifications, or vendor support, this blog is not the right source.

Observe and Report is a personal blog hosted at jeremyckahn.github.io. To browse its posts, open the homepage: the site presents a single "Posts" list in reverse-chronological order, with each entry showing a date and a linked title. There are no visible categories, tags, or search on the page, so the list itself is the navigation.

What the homepage shows

The page is titled "Observe and Report" and contains one heading, "Posts," followed by the archive. Each item follows the same pattern: a date in YYYY-MM-DD form, then the post title as a link.

Steps to read a post

1. Go to jeremyckahn.github.io.
2. Scroll the "Posts" list. Newest entries are at the top.
3. Click a post title to open that individual post.
4. Use the browser back button to return to the list and pick another entry.

The expected result is the full text of the selected post on its own page. Because every entry is a normal link, opening one in a new tab also works if you want to keep the list visible.

Common snags

• No search or filters. If you are looking for a specific topic rather than a date, you have to scan the list or use your browser's find function on the homepage.
• No pagination visible. All entries appear to live on the same list, so older posts stay reachable by scrolling rather than by paging.
• Dates are the only ordering cue. The list is reverse-chronological, so a post's position tells you roughly how recent it is, not what it is about.

Choosing what to read first

If you want the most current thinking, start at the top with the 2026-09-01 post. If you are interested in a specific theme, the titles are descriptive enough to pick by subject — for example, the 2024-12-02 and 2025-02-03 entries both deal with AI and developer tooling, while the 2023-11-03 and 2023-11-05 entries focus on web apps and PWAs.

Observe and Report (jeremyckahn.github.io) is a personal blog whose homepage is a simple, reverse-chronological list of posts. As of the site's current listing, the most recent entry is "Where the Agentic Winds Blow: Moving at Machine Speed" (2026-09-01), followed by "The Modern Tech Career: A Survival Guide" (2026-08-17). If you want to know whether the blog is still active and what it currently discusses, those two posts are the answer; everything below them is older material.

The full post list, newest first

The homepage presents only titles and dates, with no summaries or tags. The complete list visible on the page is:

What the dates tell you

The publishing rhythm is uneven rather than regular. There is a cluster of three posts in late 2023, then a gap until mid-2024, a single post in December 2024, two in February 2025, and then a long pause before two posts in August and September 2026. If you are deciding whether to follow, treat it as a low-frequency blog that reappears in bursts rather than a steady feed.

What the recent posts are about

Based on the titles alone, the newest entries sit in the same territory as the older ones:

• Agentic tooling and machine-speed workflows — "Where the Agentic Winds Blow: Moving at Machine Speed" continues the blog's interest in AI-assisted development.
• Career advice for developers — "The Modern Tech Career: A Survival Guide" is the one post that steps outside tooling and addresses how to navigate the industry.
• AI and developer tooling — "LLMs and the Total Eclipse of the LSP" and "Local AI is the Only AI" both deal with how language models are reshaping editors and where inference runs.
• Web platform topics — "A Future of the Web," "Unkillable Apps," and "The Agony and Ecstasy of PWAs" cover progressive web apps and the durability of web software.

The through-line across the list is the intersection of AI, developer tooling, and the web platform, with occasional career commentary.

How to browse the archive

The site offers no categories, search box, or pagination on the homepage — just the list above. To read anything, click a title and open the individual post. To check for new material later, reload the homepage and look at the top of the list; a new date at the top is the only signal that something was published.

Observe and Report (jeremyckahn.github.io) is a personal tech blog whose posts cluster around four themes: AI and LLMs, the web platform, developer tooling, and tech-industry career commentary. If you want writing that treats local AI, agentic workflows, and browser-based software as connected subjects rather than separate news beats, it is worth reading; if you are looking for tutorials, product reviews, or a high-volume news feed, the post list suggests it is not that kind of site.

The four recurring themes

The published post titles give a clear picture of the range:

AI and LLMs

This is the most active thread. "Local AI is the Only AI" argues a position on running models locally rather than through hosted services. "Where the Agentic Winds Blow" looks at agentic workflows and the pace of change they imply. "LLMs and the Total Eclipse of the LSP" sits at the intersection of AI and tooling, examining what large language models mean for language servers — the infrastructure behind editor features like autocomplete and go-to-definition.

Web platform and PWAs

A second cluster covers the browser as an application platform. "The Agony and Ecstasy of PWAs" is a direct look at progressive web apps, including the tradeoffs. "Unkillable Apps" and "A Future of the Web" extend that into broader speculation about where web software is heading. These posts pair naturally with the local-AI writing: both are about what can run on a user's own machine or browser.

Developer tooling

The LSP post is the clearest tooling entry, but the tooling interest runs through the AI writing as well. If you care about how editors, language servers, and coding assistants fit together, that overlap is the part of the blog most likely to be useful.

Career and industry commentary

"The Modern Tech Career: A Survival Guide" and "So it Seems" are reflective, opinion-driven pieces about working in the industry. They are the least technical strand and read as commentary rather than advice you can apply directly.

How to decide whether to read it

• Read it if you want opinionated essays on local AI, agentic workflows, PWAs, and how LLMs are reshaping developer tools — and you are comfortable with a low-frequency, personal-blog format.
• Skip it if you need step-by-step tutorials, benchmark comparisons, or frequent updates. The post list shows a handful of entries per year, not a steady stream.
• Start with "Local AI is the Only AI" and "LLMs and the Total Eclipse of the LSP" if AI and tooling are your interest, or "The Agony and Ecstasy of PWAs" if the web platform is.

What the site does not tell you

The available page evidence is a post index with titles and dates. It does not include post bodies, an about page, pricing, or any subscription or login signals, so nothing here should be read as confirming paid content, a newsletter, or gated access. To judge the writing itself, open the individual posts from the index and read a few in full.