Reading up on AWS
30 deep · digging since nov 19, 25
- The End of Code Review? Or an Opportunity to Rethink it?
The article argues that AI‑driven code generation will make traditional code review untenable, urging a rethink of its indirect benefits and alternatives.
- Launching Route 53 Files
Route 53 Files exposes AWS Route 53 hosted zones as an NFS file system, allowing standard Unix tools to edit DNS records with near real‑time synchronization.
- AWS Acquires DuckLabs
Amazon Web Services announced it has acquired DuckLabs, a startup that builds developer‑focused tooling for data workflows, to expand its cloud‑native analytics offerings.
- The Cloudflare Blog
Cloudflare’s July‑June 2026 blog posts detail advances in cache optimization, post‑quantum crypto, consensus research, AI tooling, monetization, and security initiatives.
- DuckDB Internals Part 1
DuckDB's internal architecture makes it fast and easy to use for local analytical queries, often outperforming cloud data warehouses on data that fits on a laptop.
- Amazon S3 annotations: attach rich, queryable context directly to your objects
Amazon S3 introduces annotations allowing up to 1 GB of mutable, queryable context per object, purpose-built for AI agents and autonomous workflows.
- Europe Wants to Be Less Reliant on American Tech. Here’s Its Plan.
The European Union outlined a plan to expand its data centers, semiconductors, and cloud computing capabilities to reduce reliance on American tech.
- Incident Report: May 19, 2026 – GCP Account Suspension
Hacker News commenters criticize Google Cloud's automated account suspension that took down Railway, questioning the lack of transparency and root cause explanation.
- AI inference just plays by different rules
AI inference workloads demand unprecedented concurrency and throughput, exposing cloud storage limits that require a decoupled, software-defined layer to avoid catastrophic failures.
- Amazon’s Durability – Stratechery by Ben Thompson
Amazon's decade-long investments in infrastructure, custom silicon, and physical-world operations position it to dominate the inference era of AI.
- Thoughts on slowing the fuck down
Rapid adoption of AI coding agents in production codebases leads to compounding errors, complexity, and loss of maintainability; the author advocates for slowing down and maintaining human oversight.
- An exclusive tour of Amazon's Trainium lab, the chip that's won over Anthropic, OpenAI, even Apple
Amazon's Trainium chip is winning customers like Anthropic, OpenAI, and Apple as a cheaper Nvidia alternative, with 1.4 million chips deployed.
- Anthropic invests $100 million into the Claude Partner Network
Anthropic commits $100 million to the Claude Partner Network, offering training, technical support, and market development to partners helping enterprises adopt Claude.
- LLMs work best when the user defines their acceptance criteria first
Defining clear, testable acceptance criteria upfront dramatically improves LLM-generated code quality, shifting their output from plausible to actually correct.
- Anthropic's Compute Advantage: Why Silicon Strategy is Becoming an AI Moat
Anthropic's compute strategy—multi-hyperscaler, custom-silicon integration—gives it a 30–60% cost-per-token advantage over Nvidia-dependent OpenAI, a compounding edge as inference scales.
- When the Model Is the Machine
AI agents that generate software at runtime could replace traditional SaaS, shifting value from prebuilt tools to agent-driven outcomes.
- When AI writes the software, who verifies it?
The Hacker News discussion argues that as AI writes more code, formal verification tools like Lean must scale to ensure correctness and trustworthiness.
- The Software Development Lifecycle Is Dead
AI agents collapse the software development lifecycle into a tight loop of intent, build, observe, and repeat, making stages like requirements, testing, and code review obsolete.
- Introducing the new v0 - Vercel
Vercel's new v0 brings production-ready AI coding to enterprises with git workflows, security, and real integrations for shipping software.
- Linux boxes via SSH: suspended when disconected
Shellbox offers Linux VMs via SSH that suspend on disconnect, costing $0.02/hr running and $0.50/month parked, beating Hetzner under 186 hours of use per month.
- AWS in 2026: The Year of Proving They Still Know How to Operate - Last Week in AWS Blog
AWS is fine but faces real challenges: the AI gap is closing, talent attrition threatens operational excellence, and 2026 will test execution.
- on the software job climate
A writer identifies six structural factors—interest rates, AI capital intensity, R&D tax changes, market saturation, lower build costs, and workforce growth—explaining the software job slump beyond AI.
- Introducing Amazon Nova Forge: Build your own frontier models using Nova
Amazon Nova Forge lets organizations train custom frontier models from early checkpoints, blending proprietary data with curated datasets to avoid catastrophic forgetting.
- AWS builds DNS backstop for times flaky US East region fails
AWS launched a Route 53 feature guaranteeing 60-minute RTO for DNS changes during US East region disruptions, acknowledging the region's notorious instability.
- Tech predictions for 2026 and beyond
In 2026, technology will shift to an 'AI in the human loop' era, transforming companionship, software development, quantum security, defense, and education.
- Introducing flat-rate pricing plans with no overages
AWS launches CloudFront flat-rate pricing with no overages across Free, Pro, Business, and Premium tiers to eliminate cost surprises from traffic spikes or DDoS attacks.
Takes
This is the AWS moment for agents. OpenAI just shipped the Agents API, and everything that made agents hard to build is now something you rent instead of build. Keeping one running for days, remembering what it's doing, using tools, recovering when a step fails. Now it's an API call. Before AWS, you had to buy and run your own servers, so only well funded teams could build real/scalable products. AWS made the hard part rentable, and all the value moved up to whoever had the best idea for what to build on top. Same thing is happening here. I'll be honest, my first reaction was that this is bad news for a lot of people I know. If your whole company is an agent platform, the thing you spent the last year building is now included for the price of tokens. But the more I sat with it, the more I think it's really good news if you're building for one specific industry. Basically, vertical software type stuff. If the hardest engineering just became a line item, then the only thing left that's actually hard is knowing the job. Like what counts as a done claim, what makes a filing get rejected, where the money leaks. So the wedge now is owning one painful workflow with your own tools, data, approvals, and a clear ROI. Freight exceptions, insurance reviews, security triage, revenue leakage, healthcare admin, compliance ops. I see a lot of doomers on X saying software is over (and sometimes I feel the same way), you'll just use Claude or ChatGPT for everything. BUT, if that were true, OpenAI wouldn't be shipping infrastructure for other people to build agents on. They're telling you exactly what they think: the general model is theirs, the 10,000+ specific jobs it needs to be pointed at are yours. I think software is just evolving. It's becoming an agent internet, and every layer of it, the tools, the workflows, the boring jobs, gets rebuilt for a user that doesn't have eyes or hands. That's a lot of companies waiting to be built.
@gregisenberg
We bought 19 PB of flash storage for our AWS S3 exit in 2025 for about $1.5m. The list price for this setup today would be $19 MILLION 🤑. Don't know if I've ever timed a trade this well in my life. https://world.hey.com/dhh/it-s-five-grand-a-day-to-miss-our-s3-exit-b8293563
@dhh
Managing API keys is one of the top security concerns we hear from customers. Today we’re introducing keyless auth for Claude Platform: authenticate via browser with the CLI, or let workloads use their existing cloud identity (AWS, GCP, Azure, or any OIDC token provider).
@ClaudeDevs
Used http://mailcheep.com to send a broadcast campaign to 16k contacts, and it only cost $1.66 from my AWS bill. ✌️
@damonchen