Cameron Westland

Each user in our FIRE alpha talks to an investing agent we run for them.

On July 16th I recorded a ten-second screen capture of a scroll bug that had escaped to production.

On June 7, Peter Steinberger tweeted: “Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore.

My 30-day token bill is $11,232.54.

I had coffee today with a founder I see every 90 days.

Ask Apple Intelligence something it can’t handle and watch what happens.

Mario Zechner wrote a post today called “Thoughts on Slowing the Fuck Down”.

I pointed an AI agent at a performance-sensitive Python code path, gave it a 40-line spec and a replay harness, and walked away.

There’s a talent war happening in AI right now, and it’s changed the tone of a lot of career conversations.

I’m recording a Loom walkthrough of a new feature when I notice something broken—unrelated to what I’m demoing.

I watched our CEO and a senior technical leader debate “everyone ships code” in a Slack thread this week.

A tweet from Amir Salihefendic hit 288K views last week: “Cursor feels like a company without product management.

My post about DHH moving Rails off GitHub got flagged on Hacker News within an hour: They’re not wrong.

GitHub proposed charging for the Actions control plane, then backed off after community backlash.

Why some AI feels like translation—and some feels like replacement TL;DR — AI gets adopted fastest when it translates human judgment into a different format (notes → worksheet, jargon → plain English, transcript → summary).

After thousands of AI-assisted commits, I discovered something surprising: the best AI framework is the one that doesn’t feel like a framework at all.

I killed our weekly triage meeting last month.

I watched our AI completely melt down during a CTO demo last month.

I learned this the hard way: when someone else pays the cost of understanding your AI-generated content, it isn’t real productivity.

Here’s the thing: I can’t sit still for three hours.

TL;DR Make PR submitters show proof of work.

Cursor’s Pricing Puzzle Cursor’s 4-July “Clarifying Our Pricing” post explains that the new Pro plan’s US $20 credit buys roughly 550 Gemini 2.5, 650 GPT-4.1, or 225 Claude Sonnet calls before metering kicks in.

TL;DR*: Claude Code hooks let you inject shell commands at key points in your development workflow.

Or: How the AI wars just created the biggest startup opportunity in history TL;DR: AI power is compounding faster than usability.

TL;DR - Early-stage startups run on conviction.

TL;DR — LLMs can turn a spoken outline into a 500-line plan in minutes, but the time you save up front can re-appear downstream as reviewer pain.

How MCP‑style LLM Wrappers Unlock the Integrations We Always Wanted TL;DR — When LLM-powered agents can plan and call REST APIs for you, the activation energy for integrations collapses.

The tech world is buzzing with dramatic predictions about AI and coding: “In 12 months, we may be in a world where AI is writing essentially all of the code.” - Dario Amodei, Anthropic CEO “I think software engineering by the end of 2025 looks very differ…

Someone recently asked me about a program called “BetaKit’s Most Ambitious” for Toronto Tech Week.

In my last post, I shared how my local reinforcement learning experiments slammed into a hardware wall.

Last time I shared how I was dipping my toes into reinforcement learning with my “side side quest” project.

Using LLMs to Break Down Barriers in Technical Learning I’ve always been fascinated by reinforcement learning since the AlphaGo days.

I had an early test user trying out my app, and he sent me three Loom videos.

I know it’s a lot less cool to talk about these days, but I was one of the first people to get a Tesla Model X.

Benedict Evans recently wrote two sharp critiques of AI research tools: “The Deep Research Problem” and “Are Better Models Better?”

Sam Altman posted about the future of AI recently—his “Three Observations"—and I found myself thinking about it this morning while lying in bed.

As a product engineer, I’ve discovered how generative AI is transforming my code refactoring process.

I’ve been thinking about how we use Large Language Models (LLMs).

Let’s talk about a transformation in my professional life.

Let’s talk about Figma and AI startups.

When I first started fforward, my goal was to explore the intersection of decision-making in startups and the scalability potential of new technologies like LLMs.

Traveling to conferences is a rollercoaster ride of emotions for me.

The 50-50 Ideal: Fair, But Is It Enough?

The Backdrop Four years after saying goodbye to Northern California, my family and I returned to Marin County for a two-week vacation.

This blog post is based on a thought experiment and explores the future potential of generative AI in redefining Spend Control within companies.

Over the past five years, I’ve had regular talk therapy.

Each dawn at 7 a.m., I have a routine.

As I write this, my thoughts are tumultuous, and my emotions are raw.

Sometimes life is hard, a constant battle that keeps you on edge.

The sun streams through the windows this Sunday morning.