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The Problem is not the AI Code, but Nobody Knows Anything Anymore
Simon Späti argues the real risk of AI-written codebases is not mediocre generated code, but teams that lose architecture knowledge and intent because everyone just asks the model.
4 min · 836 words
Go concurrency distilled This mini book provides a brief overview of many concurrency topics in Go. Each topic comes with interactive examples — feel free to experiment with them by changing the code and clicking Run . There's also a [PDF version](https://github.com/nalgeon/go conc distilled) with static examples. This is a quick refresher on Go concurrency, not a beginner's guide.
28 min · 6,445 words
Alex Ewerlöf argues that AI has not solved coding: reliability, architecture, product judgment, and the long tail of software work still require human engineering beyond vibe-coded demos.
23 min · 5,234 words
Keep if clauses side-effect free
Lawrence Kesteloot argues that if-conditions should not enqueue work, mutate state, or hide control flow—keeping the predicate a pure question makes code easier to read, test, and refactor.
2 min · 494 words
The internet discovers TLA+. Now what?
Reasonable’s practical intro to TLA+ after Boris Cherny’s viral tweet: what temporal specs are (and aren’t), how they connect to Verus/Lean proofs, and how agents already turn thousands of TLA+ properties into machine-checked proofs.
3 min · 720 words
If we do not stop to help each other, what do we become?
If we do not stop to help each other, what do we become? Yesterday, I received this email as a response to [You Can't Vibe Code Love](https://blog.codinghorror.com/you cant vibe code love/). It's such a remarkable and powerful statement that I asked permission to share it here, in its entirety, with personal information redacted: Hey Jeff, Hope you and your family are doing well.
3 min · 679 words
Several months ago, I decided that AI contributions were no longer welcome in a FOSS project I am building and maintaining - LibreWeddingPlanner. It’s not that it got a lot of contributions with AI — actually all contributions I’ve had are translations and feature requests — but I wanted to avoid future drama and have a position against AI. However, although I was not using AI for my FOSS contributions, I kept using it at work. In my workplace, as well as in many of my developer friends’,…
10 min · 2,190 words
He who does not code, neither shall he eat
You have never heard of me, and depending on who you are, god do I hope you will forget my name as soon as you finish reading this. Quite frankly, I am unimportant. I am not a maintainer of any major Open Source project. My largest Open Source contributions have been completely replaced by better code, and were not meaningful enough to make me qualified to speak on this issue.
10 min · 2,193 words
CS 240 Spring 2026 AI Retrospective
Purdue CS 240 instructor Jeffrey Turkstra reflects on Spring 2026 AI-assisted cheating cases: what went wrong in enforcement, what students actually did, and how academic integrity policy should change.
17 min · 3,997 words
A founder who built a desktop coding app around AI planning explains why plan mode collapsed as models got better at figuring out what to do while they work—and what replaces it.
9 min · 2,033 words
Excel now supports multiple values in a single cell
Microsoft Excel Insiders Beta adds lists, arrays in cells, and nested arrays, plus HAS/HASANY/HASALL/FLATTEN, so related values can live in one cell without losing filtering and calculation.
2 min · 504 words
Parsing Expression Grammar in Lisp: Converting Org to HTML with (ice-9 peg) in Guile
Hi everyone. In this blog post I want to take you in an adventure of parsing Org mode with Parsing Expression Grammars (PEG) in Guile Scheme (ice 9 peg) and converting to HTML (via SXML): OrgWebAlchemy. I wanted to share something with you all that I’ve been working on for a while. It all started with some naive regular expressions to parse Org mode content, but I pretty quickly realized I needed something smarter than that to get to where I want to.
5 min · 1,135 words
Evolving programming languages in the AI era
José Valim’s reflections on how programming languages, ecosystems, and agentic tooling may evolve when humans are no longer writing most of the code.
9 min · 1,980 words
I’ve been thinking about where I stand in respect to the current state of the industry.
5 min · 1,068 words
Topcoat is pushing the boundary of server applications with Rust
Two monthshttps://tokio.rs/blog/2026-07-22-announcing-topcoat ago, we Julienhttps://github.com/pikaju and Ihttps://github.com/carllerche announced Topcoathttps://github.com/tokio-rs/topcoat, a batteries-included full-stack Rust framework. It includes views, components, mailers, an ORM Toastyhttps://github.com/tokio-rs/toasty, and more. Topcoat aims to make building web apps with Rust as productive as any other language. We have been hard at work shipping features, so it is a good time to talk about what is new.
9 min · 1,958 words
Retry vs Circuit Breaker vs Fallback
Retries, circuit breakers, and fallbacks solve different failure modes in backend integrations. Using the wrong one can amplify outages—here is when each pattern helps and when it hurts.
6 min · 1,469 words
Jared Norman responds to DHH’s Rails World 2026 keynote: Rails still under DHH’s control, how AI agent coding changes the framework’s role, and why Rails developers cannot ignore his vision.
9 min · 2,017 words
How I changed teaching after AI managed to do all my homework assignments
CMU-style software engineering instructor Christian Kästner redesigned assessments after AI agents could finish take-home work: oral exams, demos, and tradeoffs against evidence-based pedagogy.
16 min · 3,576 words
Harness Engineering Explained: The System Around an AI Coding Agent
Harness Engineering Explained: The System Around an AI Coding Agent The same coding agent gives one team clean merges and another a pile of reopened tickets. The difference is rarely the model. It's the six parts around it, checked one ticket at a time.
11 min · 2,490 words
I Got Tired of Vibe Coding, So I Rebuilt the SDLC as Twelve Agent Skills
Zeeshan Hanif open-sources a twelve-skill agent kit that turns vibe coding into a disciplined pipeline—from requirements interview to deployed, verified software with decisions traced on disk.
19 min · 4,397 words