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TOSTracker – The AI Training Asymmetry

https://tostracker.app/analysis/ai-training
1•tldrthelaw•2m ago•0 comments

The Devil Inside GitHub

https://blog.melashri.net/micro/github-devil/
1•elashri•3m ago•0 comments

Show HN: Distill – Migrate LLM agents from expensive to cheap models

https://github.com/ricardomoratomateos/distill
1•ricardomorato•3m ago•0 comments

Show HN: Sigma Runtime – Maintaining 100% Fact Integrity over 120 LLM Cycles

https://github.com/sigmastratum/documentation/tree/main/sigma-runtime/SR-053
1•teugent•3m ago•0 comments

Make a local open-source AI chatbot with access to Fedora documentation

https://fedoramagazine.org/how-to-make-a-local-open-source-ai-chatbot-who-has-access-to-fedora-do...
1•jadedtuna•4m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•5m ago•0 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
1•mellosouls•5m ago•1 comments

The Neuroscience Behind Nutrition for Developers and Founders

https://comuniq.xyz/post?t=797
1•01-_-•5m ago•0 comments

Bang bang he murdered math {the musical } (2024)

https://taylor.town/bang-bang
1•surprisetalk•5m ago•0 comments

A Night Without the Nerds – Claude Opus 4.6, Field-Tested

https://konfuzio.com/en/a-night-without-the-nerds-claude-opus-4-6-in-the-field-test/
1•konfuzio•8m ago•0 comments

Could ionospheric disturbances influence earthquakes?

https://www.kyoto-u.ac.jp/en/research-news/2026-02-06-0
1•geox•9m ago•0 comments

SpaceX's next astronaut launch for NASA is officially on for Feb. 11 as FAA clea

https://www.space.com/space-exploration/launches-spacecraft/spacexs-next-astronaut-launch-for-nas...
1•bookmtn•10m ago•0 comments

Show HN: One-click AI employee with its own cloud desktop

https://cloudbot-ai.com
1•fainir•13m ago•0 comments

Show HN: Poddley – Search podcasts by who's speaking

https://poddley.com
1•onesandofgrain•14m ago•0 comments

Same Surface, Different Weight

https://www.robpanico.com/articles/display/?entry_short=same-surface-different-weight
1•retrocog•16m ago•0 comments

The Rise of Spec Driven Development

https://www.dbreunig.com/2026/02/06/the-rise-of-spec-driven-development.html
2•Brajeshwar•20m ago•0 comments

The first good Raspberry Pi Laptop

https://www.jeffgeerling.com/blog/2026/the-first-good-raspberry-pi-laptop/
3•Brajeshwar•20m ago•0 comments

Seas to Rise Around the World – But Not in Greenland

https://e360.yale.edu/digest/greenland-sea-levels-fall
2•Brajeshwar•20m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•24m ago•1 comments

State Department will delete Xitter posts from before Trump returned to office

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•righthand•27m ago•1 comments

Show HN: Verifiable server roundtrip demo for a decision interruption system

https://github.com/veeduzyl-hue/decision-assistant-roundtrip-demo
1•veeduzyl•28m ago•0 comments

Impl Rust – Avro IDL Tool in Rust via Antlr

https://www.youtube.com/watch?v=vmKvw73V394
1•todsacerdoti•28m ago•0 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
3•vinhnx•29m ago•0 comments

minikeyvalue

https://github.com/commaai/minikeyvalue/tree/prod
3•tosh•33m ago•0 comments

Neomacs: GPU-accelerated Emacs with inline video, WebKit, and terminal via wgpu

https://github.com/eval-exec/neomacs
1•evalexec•38m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•42m ago•1 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
2•m00dy•44m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•44m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
5•okaywriting•51m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
2•todsacerdoti•54m ago•0 comments
Open in hackernews

Show HN: CloudSlash – Graph-based AWS cleaner with Terraform undo

3•drskyle•3w ago
Hi HN,

I’ve built an open-source CLI tool that identifies wasted cloud resources (AWS) , CLoudSlash , and, more importantly, it helps you delete them without the fear of breaking production.

The Problem: Most "cloud cost" tools give you a CSV of "unused" resources. But deleting them is terrifying. Is that unattached EBS volume actually a production database backup? Is that idle NAT Gateway the only route for a silent legacy lambda?

I realized that detection is easy, but safe remediation is an unsolved distributed systems problem.

The Solution: CloudSlash builds an in-memory Directed Acyclic Graph (DAG) of your infrastructure to understand dependencies, not just utilization metrics. It effectively treats your infrastructure as a graph traversal problem.

Key Technical Features:

1. The "Lazarus Protocol" (Infrastructure Undo Button): If you choose to delete a resource (e.g., a Security Group), CloudSlash doesn’t just make the API call. It first:

- Snapshots the live configuration. - Generates a restore.tf file with the HCL definition. - Generates a precise terraform import command.

If you make a mistake, you can resurrect the resource and bridge it back into your Terraform state in seconds. It turns "destructive" operations into reversible transactions.

2. Graph-Based Forensic Engine: Instead of simple rules ("CPU < 5%"), it builds a dependency graph.

- Example: It won't flag a NAT Gateway as waste—even if it has 0 bytes of traffic—if it detects an active Route Table creating a "FlowsTo" edge targeting it. - The engine is written in Go, using custom string interning and contiguous memory layouts for the graph nodes to handle large enterprise accounts (10k+ resources) without GC thrashing.

3. Bin Packing, Not Just "Right-Sizing": For compute optimization, it uses a 2D Bin Packing algorithm (Best Fit Decreasing) to simulate how your current pods/workloads would fit into modern instance types. It visualizes the "fragmentation" of your clusters rather than just looking at average CPU usage.

Why Use This?

- Locally Run: No SaaS, no API keys leaving your machine. - Heuristics Catalog: All detection logic is open source. You can see exactly why an RDS instance was flagged (e.g., Connections == 0 for 7 days AND SnapshotCreated == true). - TUI: It includes a terminal UI (using Bubble Tea) for interactive graph exploration.

Repo: https://github.com/DrSkyle/CloudSlash

I’m eager for feedback on the graph traversal logic and the "Lazarus" restoration flow.

:) DrSkyle