Pitfalls of Premature Closure with LLM-Assisted Coding (by Shayon Mukherjee)

Discusses the cognitive bias of "premature closure" in the context of using AI coding assistants, warning against accepting initial AI suggestions without deep thought or verification, which can lead to missed errors or suboptimal solutions. Emphasizes the need to critically review AI code like a human peer's.

software development

AI

coding

LLMs

productivity

Different Views on Software Complexity (by Varun Gandhi)

A insightful meta-analysis exploring three distinct perspectives on software complexity (Rich Hickey, John Ousterhout, Zach Tellman). It discusses how these definitions impact software design, communication, and the potential for new tools to measure complexity metrics.

software design

software engineering

complexity

programming

communication

My AI Skeptic Friends Are All Nuts (by Thomas Ptacek)

A spirited defense of using LLMs for software development, addressing common skeptical arguments and highlighting the practical benefits and current state of AI-assisted programming.

LLMs

software development

AI

productivity

opinion

Startup Equity 101 (by Carter Mark and Jordan Gonen)

A comprehensive guide covering the essentials of startup equity, including stock options (ISOs, NSOs), vesting, exercising, valuations (409A, preferred), dilution, tax implications (AMT, 83b election, QSBS), and liquidity challenges.

finance

startups

careers

Thrive in obscurity (by Jeet Mehta)

A great post on shifting your mindset when starting to create content and feeling like no one is listening, focusing on doing what you like and building a future 'Binge Bank'.

Writing

Creativity

Motivation

Content Creation

Personal Growth

Parallelizing LLM Codegen with Git Worktrees and Tmux (by Nicholas Khami)

Discusses improving AI coding agent success rate by running them in parallel using Git worktrees and Tmux, mentioning a new tool 'uzi' being built to streamline the process.

AI

LLM

software development

Git

developer tools

Working on Complex Systems (by Teiva Harsanyi)

Exploration of the key differences between complicated and complex systems, offering insights and practical patterns for navigating complexity, such as focusing on observability, favoring reversible decisions, and employing controlled rollouts.

software engineering

systems thinking

complexity

SRE

architecture

Dotless Domains (by Matheus Avellar)

An interesting read on 'dotless domains' - Top-Level Domains (TLDs) that are directly reachable without needing a subdomain (like http://com/). Explores the technical possibility, current examples, and the stance of ICANN/IAB against it.

web

DNS

domains

networking

A High-Level Guide to GPU Utilization (by Charles Frye)

A guide to maximizing GPU output by understanding key utilization metrics—GPU Allocation, Kernel, and Model FLOP/s—and implementing practical improvement steps.

GPU

performance

machine learning

inference

cloud computing

Doordash and Pizza Arbitrage (by Ranjan Roy)

An entertaining yet somewhat sad analysis of the economics of delivery services, highlighting why they can be problematic business models.

business

economics

startups

food delivery

Post-Chat UI (by Allen Pike)

A collection of emerging UI patterns beyond traditional chat interfaces that leverage LLMs, offering inspiration for building new products.

UI

UX

AI

LLMs

product design

Accountability Sinks (by Martin Sustrik)

A writeup on how rigid processes can create 'accountability sinks' where systems, not people, are held responsible, often leading to undesirable outcomes in large organizations and beyond.

systems-thinking

organizations

process

accountability

AI Code Review: Should the Author Be The Reviewer? (by Daksh Gupta)

An interesting exploration of the implications and effectiveness of using AI to review code that was itself generated by AI, touching on code quality differences between developer levels and AI's surprising bug-finding capabilities.

ai

software development

code review

llms

Avoiding Skill Atrophy in the Age of AI (by Addy Osmani)

A slightly worrying post on skill atrophy in the AI age. It discusses how over-reliance on AI coding assistants can lead to the decline of core engineering skills like critical thinking and debugging, suggesting ways to use AI as a collaborator rather than a crutch.

AI

software development

productivity

learning

career

Better error handling (by Thành)

A comprehensive overview of error handling strategies in TypeScript/JavaScript, comparing traditional try/catch with errors-as-values approaches like Go-style tuples and Monadic Result types. Discusses tradeoffs, type safety, community feedback, and practical implications.

software engineering

typescript

javascript

error handling

How to run Python in production (by Ashish Bhatia)

Great blog post with many practical tips on running Python in production, covering project quality (linting, secrets, hooks), maintainability (FastAPI, data classes, dependencies), and deployment strategies (Docker, builds, non-root execution).

python

devops

best practices

production

Impact, agency, and taste (by Ben Kuhn)

Ben Kuhn explores 'agency' and 'taste' as the key qualities that enable engineers and researchers to achieve high impact, going beyond pure technical skill.

engineering

productivity

effectiveness

The Insane Story of Building an Accurate Calculator App (by Chad Nauseam)

Deep dive into the surprising complexities of building a truly accurate calculator app, exploring number representations from floating-point to constructive reals, and the engineering behind Android's solution.

software development

engineering

mathematics

computer science

This blog post passed unit tests (by Amelia Wattenberger)

Inspiring glimpse into the future of AI-native UI interfaces which combine multiple senses instead of only relying on visual input

AI

UI

design

This blog post passed unit tests (by Giorgio Azzinnaro)

Interesting idea about using "unit tests" (AI feedback) during the writing process to improve blog posts

blogging

writing

AI

testing

What's OAuth2 Anyway (by Roma Glushko)

Detailed and easy-to-understand explanation of OAuth2

security

authentication

authorization

No Calls (by Keygen)

Controversial opinion piece on how a strict 'no calls' policy can actually work in a company

remote work

communication

20 lines of code that will beat A/B testing every time (by Steve Hanov)

Different take on A/B testing, using a simple multi-armed bandit algorithm that statistically outperforms A/B testing

software development

productivity

Mistakes engineers make in large established codebases (by Sean Goedecke)

Common mistakes engineers make when working in large established codebases

software development

productivity

2024 Databases Retrospective (by Andy Pavlo)

Good write-up on the trends and developments in databases in 2024

databases

How to Ship (by Sean Goedecke)

Important tips on what to do besides writing code to ship your software

software development

productivity

The Cold Outbound Handbook

Incredibly detailed guide covering everything needed to setup a large-scale cold outbound campaign from scratch

marketing

sales

Good software development habits (by Zarar)

10 good software development habits that can help you become a better developer

software development

clean code

best practices

Before you buy a domain name, first check to see if it's haunted (by Bryan Braun)

Helpful guide on how to check if a domain name has a bad history before you buy it

web development

domains

security

Detecting when LLMs are Uncertain (by Thariq Shihipar)

Piece on a new method that tries to adapt the sampling strategy of LLMs in cases where they are uncertain

machine learning

NLP

research

LLMs

Predicting Good Probabilities With Supervised Learning (by Alexandru Niculescu-Mizil)

Research paper on how to predict actual probabilities instead of just values between 0 and 1

research

machine learning