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(Bsky thread) "This turns the maintainer into an unwitting vibe coder"

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•44s ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•1m ago•0 comments

Can you beat ensloppification? I made a quiz for Wikipedia's Signs of AI Writing

https://tryward.app/aiquiz
1•bennydog224•2m ago•1 comments

Spec-Driven Design with Kiro: Lessons from Seddle

https://medium.com/@dustin_44710/spec-driven-design-with-kiro-lessons-from-seddle-9320ef18a61f
1•nslog•2m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•3m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•3m ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•4m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•6m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•6m ago•0 comments

Slint: Cross Platform UI Library

https://slint.dev/
1•Palmik•10m ago•0 comments

AI and Education: Generative AI and the Future of Critical Thinking

https://www.youtube.com/watch?v=k7PvscqGD24
1•nyc111•11m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•11m ago•0 comments

Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•15m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•16m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•17m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
2•samuel246•19m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•19m ago•0 comments

Abstractions Are in the Eye of the Beholder

https://software.rajivprab.com/2019/08/29/abstractions-are-in-the-eye-of-the-beholder/
2•whack•20m ago•0 comments

Show HN: Routed Attention – 75-99% savings by routing between O(N) and O(N²)

https://zenodo.org/records/18518956
1•MikeBee•20m ago•0 comments

We didn't ask for this internet – Ezra Klein show [video]

https://www.youtube.com/shorts/ve02F0gyfjY
1•softwaredoug•21m ago•0 comments

The Real AI Talent War Is for Plumbers and Electricians

https://www.wired.com/story/why-there-arent-enough-electricians-and-plumbers-to-build-ai-data-cen...
2•geox•24m ago•0 comments

Show HN: MimiClaw, OpenClaw(Clawdbot)on $5 Chips

https://github.com/memovai/mimiclaw
1•ssslvky1•24m ago•0 comments

I Maintain My Blog in the Age of Agents

https://www.jerpint.io/blog/2026-02-07-how-i-maintain-my-blog-in-the-age-of-agents/
3•jerpint•24m ago•0 comments

The Fall of the Nerds

https://www.noahpinion.blog/p/the-fall-of-the-nerds
1•otoolep•26m ago•0 comments

Show HN: I'm 15 and built a free tool for reading ancient texts.

https://the-lexicon-project.netlify.app/
3•breadwithjam•29m ago•1 comments

How close is AI to taking my job?

https://epoch.ai/gradient-updates/how-close-is-ai-to-taking-my-job
1•cjbarber•29m ago•0 comments

You are the reason I am not reviewing this PR

https://github.com/NixOS/nixpkgs/pull/479442
2•midzer•31m ago•1 comments

Show HN: FamilyMemories.video – Turn static old photos into 5s AI videos

https://familymemories.video
1•tareq_•32m ago•0 comments

How Meta Made Linux a Planet-Scale Load Balancer

https://softwarefrontier.substack.com/p/how-meta-turned-the-linux-kernel
1•CortexFlow•32m ago•0 comments

A Turing Test for AI Coding

https://t-cadet.github.io/programming-wisdom/#2026-02-06-a-turing-test-for-ai-coding
2•phi-system•33m ago•0 comments
Open in hackernews

Show HN: Former Cloudflare SRE building OpsCompanion a live map of whats running

4•kennethops•2w ago
Hey HN, I’m Kenneth. I spent several years as a Senior SRE at Cloudflare.

One thing that became painfully clear over time is that most outages, security issues, and compliance fire drills don’t come from a lack of tools. They come from missing context. People don’t know what’s running, how things connect, or what changed recently, especially once systems sprawl across clouds, repos, and teams.

That’s why I’m building OpsCompanion.

The goal is simple: keep a live, shared picture of what’s actually running and how it fits together.

OpsCompanion helps engineers:

See a live, visual map of services, infrastructure, and dependencies

Answer “what changed?” without digging through five tools, Slack threads, or outdated docs

Preserve operational context so the next person on call isn’t starting from zero

This isn’t about adding more logs or alerts, or slapping AI on top of existing dashboards. It’s about capturing the mental model experienced operators carry in their heads and keeping it shared and up to date.

It’s still early, and there are rough edges. I’ve opened it up to a small group of engineers who work close to production so I can get honest feedback. If it’s useful, great. If not, I genuinely want to understand why and what would make it better.

You can try it here: https://opscompanion.ai/?utm_source=hn&utm_medium=show_hn&ut...

I’ll be around in the comments. Happy to answer technical questions, hear skepticism, get a bit roasted, or talk about what actually breaks in real systems.

Comments

shukantpal•2w ago
In your pilots so far, what's the feedback you've gotten?
kennethops•2w ago
So far the feedback has clustered around a few themes:

People want it to be significantly more proactive over time, things like root cause analysis, security-style probing, or guided investigations rather than just visibility.

There’s interest in going deeper on telemetry and using it to surface higher-level insights, not just raw data or links out to other tools.

A lot of people ask whether it can eventually write to environments. The direction that’s resonated most is doing this first for new or greenfield environments. For example, going from a prototype to a production-ready AWS setup in a more agentic way. For existing environments, trust and safety are still the gating factors.

My takeaway is that read-only context earns trust first, and write access has to be very deliberate and staged.

incidentiq•2w ago
The "mental model that experienced operators carry in their heads" framing resonates. The real problem isn't lack of tools - it's that the knowledge is ephemeral. Senior SRE leaves, their context leaves with them. Incident happens at 3am, and the on-call person is essentially doing archaeology.

Two observations from similar tooling attempts I've seen:

1. The hardest part isn't generating the map - it's keeping it accurate. Every tool that promises "live view of what's running" eventually drifts from reality because infrastructure changes faster than discovery runs. The teams that made this work treated the map as the source of truth and pushed changes through it, not around it.

2. Re: your feedback about write access - the "prototype to production-ready AWS" use case is interesting. That's where the value of context is highest (greenfield) and the risk is lowest (nothing to break yet). Much easier trust equation than "let it modify my production K8s cluster."

How are you handling the drift problem? Auto-discovery polling, change events from cloud providers, or something else?

kennethops•1w ago
>The real problem isn't lack of tools - it's that the knowledge is ephemeral. This 100% the problem. This is why we are trying to capture business context and attach it to the infra itself vs just keeping it in docs.

>How are you handling the drift problem? Auto-discovery polling, change events from cloud providers, or something else?

We built a pretty awesome approach to handling the drift problem. We do a combination of indexing, change even capture and then user behavior. So if a user is looking for a information we pull the live value first.