Welcome to Grind Engineer, your guide to becoming a better software engineer!
No fluff. Pure engineering insights.
In partnership with
Catch takes real action, so it only acts when it's certain — checking with you when unsure. Always on, never drops the ball. Safe for what matters most. Trust Catch at catchagent.ai.
CollabED's founder built 10 web platforms, 2 mobile apps, and 27 automations in 75 days with Viktor. No developers, no designers, no IT team. One founder, 46 volunteers. Get Started for Free.
Write docs 4x faster. Without hating every second.
Nobody became a developer to write documentation. But the docs still need to get written — PRDs, README updates, architecture decisions, onboarding guides.
Wispr Flow lets you talk through it instead. Speak naturally about what the code does, how it works, and why you built it that way. Flow formats everything into clean, professional text you can paste into Notion, Confluence, or GitHub.
Used by engineering teams at OpenAI, Vercel, and Clay. 89% of messages sent with zero edits. Works system-wide on Mac, Windows, and iPhone.
Added Job Opening in the end of the article!
📱 Big Tech & AI
Bun's Zig to Rust Rewrite: $165K in AI Costs, 5.9 Billion Tokens (8 minute read)
The Pragmatic Engineer broke down the actual costs of Bun's 11 day Rust rewrite. It consumed 5.9 billion uncached input tokens and 690 million output tokens, totaling $165,000 in API expenses using Fable. The takeaway isn't just that AI can do large rewrites. It's that we now have a concrete price tag for what used to be a three engineer, one year project.
Scortier's Take: $165K for a full runtime rewrite is absurdly cheap. For context, that's less than one senior engineer's annual salary. If your codebase has a well tested module that needs a language migration, the economics of AI assisted rewrites just became impossible to ignore.
Google Delays Gemini 3.5 Pro as It Falls Short of Internal Goals (5 minute read)
Google is months behind schedule on Gemini 3.5 Pro, prioritizing coding capability improvements before release. Internal frustration is growing, and the model is still in partner testing. If you were planning to build on Gemini 3.5 Pro, adjust your timelines. The competitive gap with GPT 5.6 and Claude is widening.
TSMC Adds $100 Billion to US Spending Plan, Total Now $265B (4 minute read)
TSMC boosted its Arizona investment to $265 billion total. This is the single largest foreign manufacturing commitment in US history. For the AI chip supply chain, this means more domestic capacity for cutting edge nodes, reducing the Taiwan geopolitical risk that keeps infrastructure planners up at night.
Microsoft CEO Satya Nadella publicly called out Anthropic's content restrictions on Fable as excessive editorial control. This is awkward given Microsoft's $5 billion commitment to Anthropic and Anthropic's $30 billion Azure spending pledge. The tension between model safety philosophy and enterprise customer demands is becoming a real business problem.
🚀 Engineering & System Design
How Anthropic Runs Large Scale Code Migrations with Claude Code (7 minute read)
Anthropic published their six step process for running large code migrations using Claude Code: create rulesets, analyze dependencies, stress test translation rules, then deploy multiple agents for iterative translation, review, and fixing. If you're planning a migration (framework upgrade, language port, API version bump), this is the closest thing to a battle tested playbook.
Slack's Shipyard: Building a Next Gen EC2 Platform (10 minute read)
Slack rebuilt its compute platform from scratch on EC2. The post covers how they handle fleet management, deployment orchestration, and capacity planning across their infrastructure. If you're running a large scale compute platform on AWS, this is a reference architecture from a team processing billions of messages daily.
Turso Is Building a Modern Postgres in Rust (6 minute read)
The team behind libSQL and Turso is building a ground up Postgres replacement in Rust. It's not a fork. It's a new implementation designed for modern workloads with built in replication and edge deployment. Whether this succeeds or not, the fact that teams are rewriting fundamental database infrastructure in Rust tells you where the ecosystem is heading.
💻 Dev Tools & Programming
LM Studio Bionic: The AI Agent for Open Models (5 minute read)
LM Studio shipped Bionic, turning their local LLM runner into a full agent platform for open weight models. You can now run agentic workflows entirely locally without any API calls. If you've been waiting for local AI agents that don't phone home, this is the first serious implementation.
Linus gave his clearest endorsement yet of AI assisted contributions to the Linux kernel. His message to critics: if you don't like it, fork the project. This is a major signal. If the most important open source project in the world accepts AI generated code, the "should we allow AI code" debate is functionally over.
Designing APIs for AI Agents (6 minute read)
A practical guide on how API design changes when your consumer is an AI agent instead of a human developer. Agents need different error messages, response formats, and discovery patterns than humans do. If you're building APIs that agents will consume (and they will), this covers the design patterns that actually work.
🎁 Miscellaneous
SpaceXAI's Identity Crisis: Can It Compete with Claude? (6 minute read)
SpaceXAI is struggling despite releasing new coding tools and expanding sales. Bloomberg reports internal turmoil, unclear strategy, and concerns the company wasn't ready for public scrutiny. The gap between Musk's "Opus class" claims and actual competitive positioning is becoming hard to ignore.
Prefect Acquires Dagster: Not a Pipeline Story (5 minute read)
Prefect bought Dagster, consolidating two major Airflow alternatives into one company. If you're running data pipelines on either platform, this merger will shape the orchestration landscape for years. The combined product strategy hasn't been announced yet, but expect convergence.
First Experimental Evidence of Recursive Self Improvement in AI (4 minute read)
The first experimental demonstration of an AI system recursively improving its own capabilities. The implications are significant for both AI safety research and agent engineering. Right now it's a research result, not a product, but it's the kind of milestone that changes how you think about what agents will be able to do in 18 months.
⚡ Quick Links
Google rebrand folds NotebookLM into the Gemini product family.
Xi Jinping positions China as the open source AI champion while challenging US export restrictions.
A decade long vulnerability in Windows Secure Boot went unnoticed until now.
Zoom warns of a critical flaw that lets attackers hijack accounts.
Google must ship rival AI assistant access in Android 18 by August 2027 per European Commission order.
Dave Brown, senior AWS admin, moves to Meta to lead data center expansion.
Environmental model enabling real time perception and navigation for physical AI systems.
Their interaction focused approach to AI gets its first publicly available model.
Job Openings
See you in the next one!
Scortier, Signing Off!