André Terroir @terroir.systems · 28/09/2026After spending a weekend using Amp, I'm onboard - constraining token usage is slowing things down and not using frontiers models is limiting agent autonomy. Ultimately, it's a waste of invaluable human attention required to get to desired results. 300
Reposted by André TerroirDavid Crawshaw @crawshaw.io · 27/09/2026When in doubt, build something. 2222
André Terroir @terroir.systems · 27/09/2026It's interesting to see how the data centers of the cloud hyperscalers are distributed (or rather concentrated) across the world. gist.github.com/andreterroir...gist.github.comCloud topology snapshot, 2026-09-27Cloud topology snapshot, 2026-09-27. GitHub Gist: instantly share code, notes, and snippets. 000
André Terroir @terroir.systems · 26/09/2026“If you're not having fun, what's the point of this, really? […] If you're not enjoying yourself, go find somewhere where you're enjoying yourself.” - Adam Leventhal oxide-and-friends.transistor.fm/episodes/hir...oxide-and-friends.transistor.fmOxide and Friends | Hiring Processes with Gergely OroszBryan and Adam were joined by Gergely Orosz, the Pragmatic Engineer, to talk about Oxide's hiring process, the experiences that led to that process, and hiring generally. There's a lot there for an... 000
André Terroir @terroir.systems · 25/09/2026It should be possible to give unused tokens to friends. 100
Reposted by André TerroirGergely Orosz @gergely.pragmaticengineer.com · 25/09/2026"Application development did not change much for 20 years, but now, a new wave is crashing in. Most computers in the future must be put to work at least in part w/o programmers. Not surprisingly, programmers will instinctively resist methods described in this book." - 1982, James Martin (cont'd) 2747
André Terroir @terroir.systems · 25/09/2026Coding agents are like Linux distributions - there’re a lot of them, many are amazing and none are perfect. 200
André Terroir @terroir.systems · 23/09/2026This is very cool tracking of global networking. geocables.comgeocables.comGeoCables - Live Submarine Cable Encyclopedia (716 cables, real-time latency)Interactive map of 716 submarine cables worldwide. Live routes, real-time latency from our measurement network, and operational status. 000
André Terroir @terroir.systems · 22/09/2026Decision models is a step in the right direction. It’s an example of how to achieve significantly better efficiency and, likely in the future, quality by better fitting a model to the problem. Another plus - we drop anthropomorphic qualities of the output. simonwillison.net/2026/Sep/21/...simonwillison.netJev introduces a new shape of LLM—System One, aka Decision ModelsLast week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling “System One models” (I’m with Maggie Appleton, I think “decision models” … 100
André Terroir @terroir.systems · 28/08/2026In the time I've been contemplating these ideas, LinkedIn announced Northguard and Apache Pulsar built scalable topics. I hope my research is still useful if you're interested in distributed message logs and stream processing. terroir.systems/can-kafka-su...terroir.systemsCan Kafka Support Elastic Partitioning?The Promise of Dynamic Partitioning Partitioning is a recurring challenge around building systems on top of Apache Kafka distributed message log. Some com... 000
André Terroir @terroir.systems · 20/08/2026Is AI-created software valuable? How does the cost of writing code influence the value it provides? On one hand, the effort put into making the software valuable makes it more prized by the creator and, by extension, more valuable to its users (@jola.dev): jola.dev/posts/no-cos...jola.devNo cost, no valueWhy generating code makes it meaningless, why writing code by hand has value, and why toil is a critical part of the human experience. 200
André Terroir @terroir.systems · 20/08/2026Some thoughtful deliberations on AI and ownership of work: jola.dev/posts/a-comp...jola.devA computer can never be held accountableFor better or for worse the things you create with LLMs are your responsibility, just like with any other tool. 100
André Terroir @terroir.systems · 20/08/2026Just set-up external monitoring for my websites with larm.dev. It's been a delightful experience. Here's my external dashboard: terroir.status.larm.devlarm.devLarm | Uptime Monitoring for Engineering TeamsKnow before your customers do. Uptime monitoring with full request traces, multi-location verification, and status pages. Free to start. 021
André Terroir @terroir.systems · 15/08/2026It's good to hear someone having a sober conversation about the threats of AI, including bioweapons. What a coincidence that the fearmongering is so well aligned with the business incentive of the big AI labs. oxide-and-friends.transistor.fm/episodes/the...oxide-and-friends.transistor.fmOxide and Friends | The Open Weight Revolution with Simon WillisonSimon Willison joined Bryan and Adam to discuss a wild couple of weeks in AI. First, we have a high-profile, AI-induced, AI-diagnosed security incident. Next we have the rise of frontier-class open... 010
André Terroir @terroir.systems · 15/08/2026The recent AI-related cybersecurity incidents make me hopeful about the future. Secure software without vulnerabilities is possible. The bottleneck was always identifying security flaws, which contemporary models can remove. www.foreignaffairs.com/podcasts/cyb...foreignaffairs.comCyberwarfare in the AI AgeA Conversation With Jen Easterly 310
André Terroir @terroir.systems · 14/08/2026Bonsai 27B is the first local LLM that's actually useful with a coding agent on my 32GB M2 Max MacBook. The models I've tried earlier were either too prone to mistakes, too slow, or too resource hungry. prismml.com/news/bonsai-...prismml.comPrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a PhoneToday we're announcing Bonsai 27B, our multimodal flagship: ternary at 5.9GB for laptops, 1-bit at 3.9GB for an iPhone 17 Pro, with a 262K-token context. 020
André Terroir @terroir.systems · 11/08/2026How come you don't hear more about Apache Pulsar? Geo-replication, multi-tenancy, tiered storage, and especially scalable topics (preview release) sounds very interesting. pulsar.apache.org/docs/5.0.x/c...pulsar.apache.orgScalable topics | Apache PulsarUnderstand scalable topics (Topics v5), the topic type that grows and shrinks at runtime by splitting and merging key-range segments. 100
André Terroir @terroir.systems · 28/07/2026LLM prompt caching is unlike data caching, were the result of an operation is served from the cache to avoid a more expensive computation or lookup. Instead it's the internal state of the model (a bunch of multidimensional vectors) that's cached, allowing to resume inference from a previous point. 300
André Terroir @terroir.systems · 27/07/2026Reasoning (also thinking) LLMs are the models that have been trained (or fine-tuned to be precise) to output "chain-of-thought" tokens before producing a response, increasing its quality for certain classes of problems. www.ibm.com/think/topics...ibm.comWhat Is a Reasoning Model? | IBMA reasoning model is a large language model (LLM) fine-tuned to break complex problems into smaller chain-of-thought (CoT) steps, often called “reasoning traces,” prior to generating a final output. 200
André Terroir @terroir.systems · 23/07/2026Until we figure out how to teach agents software design, building well abstracted components, that can be understood independently and combined safely, sounds promising. The alternative is oftentimes a tightly coupled snowball of code. maheshba.bitbucket.io/blog/2026/07...maheshba.bitbucket.ioThe Bottlenecks for AI-Driven System Design: why Principal Engineers are not (yet) obsolete.I’ve been building systems, teaching system design, and writing papers about novel designs for a couple of decades now. In my view, agents are magical self-writing distributed programs: my personal re... 100
André Terroir @terroir.systems · 23/07/2026An observation: LLM-generated code typically results in a lot thicker abstractions, while humans tend to err on the side of shallow layered modules. 100
André Terroir @terroir.systems · 21/07/2026It’s useful to take breaks from tools - AI, the Internet, screens, devices. Read from paper, write with a pen, rely on your memory to remember and on your brain to think. 200
André Terroir @terroir.systems · 20/07/2026A prediction: open-weight models will lead to an ultimate downfall of the big AI labs. 200
André Terroir @terroir.systems · 20/07/2026A great podcast discussion from Oxide on adopting an RFC process and making it effective: oxide-and-friends.transistor.fm/episodes/rfd...oxide-and-friends.transistor.fmOxide and Friends | RFDs: The Backbone of OxideRFDs--Requests for Discussion--are how we at Oxide discuss... just about everything! Technical design, hardware component selection, changes in process, culture, interview systems, (even) chat--we ... 010
André Terroir @terroir.systems · 20/07/2026RFCs/RFDs (requests for comments/discussion) predate ADRs by many decades (1969 and 2011). Contrasted to ADRs, they seem to be more extensive, detailed, cover a wider scope of decisions, and use a free-form structure. (I've no personal experience with RFC process.) oxide.computer/blog/rfd-1-r...oxide.computerRFD 1 Requests for Discussion | Oxide Computer CompanyA look inside our internal Requests for Discussion process. 200
André Terroir @terroir.systems · 20/07/2026ADRs seem to be experiencing a renaissance in 2026. My guess is that tracking system evolution on a higher level becomes more valuable, as code moves at an ever-increasing pace and is less reflective of the intent, both due to AI acceleration. martinfowler.com/bliki/Archit...martinfowler.combliki: Architecture Decision RecordA short document that captures a single decision, structured into a log to provide a history 000
André Terroir @terroir.systems · 10/07/2026There's something to be said for the role of vision in innovation. Some of the most interesting technologies come from taking a stance rather than a mechanical evaluation of trade-offs. www.youtube.com/watch?v=iqdd...youtube.comZig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley ExplainsYouTube video by JetBrains 100
André Terroir @terroir.systems · 08/07/2026Following through the Amp’s guide to build a coding agent was an enlightening experience. It is impressive what can be achieved in just a couple of hours. Highly recommended to check it out on your own and to follow along (do the typing!). ampcode.com/notes/how-to...ampcode.comHow to Build an AgentBuilding a fully functional, code-editing agent in less than 400 lines. 200
André Terroir @terroir.systems · 07/07/2026If you’re looking for a coding agent LLM subscription, OpenCode Go is an incredible value at $10/month. It’s a fixed cost with more than enough budget for side project work and a great selection of open weights models. 200
André Terroir @terroir.systems · 03/07/2026Worktrees is the most underappreciated feature of Git. If you rely on AI coding agents, it becomes invaluable. git-scm.com/docs/git-wor...git-scm.comGit - git-worktree Documentation 210
André Terroir @terroir.systems · 01/07/2026It's good to see more discussions about how to improve the quality of outcomes with AI coding agents. It's an interesting idea to break down tasks into isolated chunks evaluated by agents with clean context acting as gates for quality and completion. www.youtube.com/watch?v=6Ylt...youtube.comSuperpowers: How Jesse Built the #1 AI Claude Code/ Codex Plugin — and Stopped Writing CodeYouTube video by Larridin, Inc. 300
André Terroir @terroir.systems · 01/07/2026The Acceleration Whiplash report by Faros is a good read - sobering and grounded in reality, yet constructive and actionable. www.faros.ai/research/ai-...faros.aiAI Impact on Engineering Productivity: 2026 Report Data22K developers reveal AI's real impact: 66% throughput gains but incidents rising faster. Get the definitive data on what's working and breaking. 100
André Terroir @terroir.systems · 01/07/2026Learning is the process of changing your brain (literally!). Beware of shortcuts that promise to make learning easy, whether AI or otherwise. Friction and struggle are part of the process. Frustration is optional. 000
André Terroir @terroir.systems · 01/07/2026How to resist cognitive surrender as we rely on AI more and more, when capacity to think and understand cannot be taken for granted anymore? Intellectual discipline and ability to keep learning are likely to become significant differentiating factors. 300
André Terroir @terroir.systems · 24/06/2026A useful framing for reasoning about our ability to produce software that performs accordingly to expectations. georgefairbanks.com/ieee-softwar...georgefairbanks.comGeorge Fairbanks - IEEE Software - The Pragmatic Designer: Intellectual ControlThis column was published in IEEE Software, The Pragmatic Designer column, 14 January 2019, Vol 36 number 1. It reached the home page of Hacker News but got ... 200
