Posts Tagged with “ai”
54 posts touching on ai.
- I Want AI to Keep Up With Me
I want AI to help me develop ideas, understand the tradeoffs, and try the result quickly enough to keep thinking and directing the work.
- Agents Need Access to the Whole Stack
Coding agents become much more productive when they can inspect, operate, and verify the product across development, production, and analytics.
- How Prompt Caching Works, Step by Step
A visual walkthrough of prompt caching, from why it is a prefix match to where breakpoints go, what it costs, what silently breaks it, and how to check that it is working.
- Why Agent Frameworks Cannot Win
Generic agent frameworks cannot hold a stable abstraction over models that keep absorbing their features and products that need direct control.
- AI-Generated Code Should Come With Evidence
Demo artifacts can replace some code reading by showing that AI-generated changes satisfy the behavior they were meant to produce.
- How the AI Bubble Crash Could Happen
AI model labs can become very large companies and still disappoint public markets if valuation runs ahead of adoption.
- sfeed.dev
A CLI and MCP server for posting to Facebook Pages and Instagram from local files.
- How Claude Code Works, Part 2: Context, Control, Configuration
How three agent codebases converged on the same patterns for context engineering, skills, hooks, custom subagents, and the Agent SDK.
- How Claude Code Works, From Tokens to Agents
A visual walkthrough of what happens inside AI coding tools, built up layer by layer from a basic prompt to a full agent loop.
- The comprehension debt
AI makes you faster but you might understand less of what you build. The long-term cost of that gap is still unclear.
- LLMs Are Not Conscious
LLMs reproduce a narrow slice of what minds do. They don't learn, remember, or act on their own.
- The Real Barrier to Fully Automated Software
Software creation stays heavily assisted, not fully automated, as long as a human carries responsibility for the outcome.
- The Real Bottleneck Is Not Review, It Is Reliability
AI code reviewers do not solve the core problem. Reliability and earned trust are what actually matter.
- You Can't Fix AI Reliability With More AI
Having one AI review another AI's work just pushes the problem further down without solving it.
- CLAUDE.md Is Not the Problem
The problem with CLAUDE.md is the same problem code comments have. Most of them are noise.
- LLMs can't introspect
Every LLM self-explanation is drawn from training data and prior tokens, same as everything else it says.
- Agent-First Development and the Cloud Shift
When agents become the primary interface for building software, local machines become the bottleneck.
- AI gave us a faster brush
The joy of coding was never in writing code itself, but in solving problems and creating on an infinite canvas of bits.
- The Biggest Misconception About LLMs
The simplest way to understand a large language model is this - it works like an extremely smart printer
- The Illusion of Software Automation
Productivity and output does not scale with token budgets as the bottleneck is (and remains) human comprehension.
- Learn to Code
Coders will take everyone else's jobs long before anyone takes theirs. AI amplifies software literacy more than it replaces it.
- The Comprehension Bottleneck
Generation has a clear target. Comprehension does not. That difference explains why AI accelerates one and barely touches the other.
- Why AI Won't Kill SaaS
AI makes building easier. That is exactly why you should not build.
- Bertle
Email your ideas, AI organizes them into living documents with research and insights.
- Why Technical Skills Matter More in the Age of AI
AI amplifies vibe coders, but production reliability still belongs to engineers who know how things actually work.
- Lound.ai
Voice journaling app that turns spoken thoughts into organized insights.
- Two-stage AI calls for structured output
Unless latency is critical, use 2 AI calls to generate structured output.
- A major edge human coders have over AI is short-term memory in the form of intuition
Human developers build an intuitive cache for codebases that AI lacks, creating a significant advantage in development speed and understanding.
- Perceived Intelligence Is The Lowest Common Denominator
We may not see a big jump in perceived model intelligence from here.
- Perfection is the precursor to automation
You can’t disrupt a field by automating expertise because judging the automation also requires expertise.
- AI LLMs think out loud
If you don't see its thoughts, it isn't thinking. It's just recalling information.
- AI Honeymoon Phase
AI is undeniably a productivity boost, but there's many more bottlenecks to overcome
- AI gives devs more leverage
There's never been a better time to get into software engineering.
- Why Now is the Best Time to Learn to Code
AI turbocharges SWEs, but it's not a replacement for human developers
- How to Talk to GenAI
Great prompting is just good communication. Be clear, give context, and treat AI like a smart assistant, not a mind reader.
- There's never been a better time to learn to code
AI will unlock more dev jobs than ever before
- AI doesn't have to make you lazy
AI is a tool. It's up to you to use it to be lazy or not.
- AI Might Like 🍝 Code
Why AI systems might prefer what humans call "spaghetti code"
- AI is a tool, not a human
You need the same skills to use AI as you do to write code.
- AI tools will create more coders, not less
AI assistants do not displace coders, they amplify them.
- AI and Knowledge Work
AI will not replace knowledge work, it will increase output / time.
- How does an LLM perform actions?
The LLM doesn't perform actions itself; it facilitates the actions through textual commands.
- Why AI Won't Replace Developers
Focusing on AI replacing software engineering jobs is like focusing on the fact that a flood in your city will damage your house while ignoring the effect on the city as a whole.
- Every output of an LLM is a hallucination
LLMs don't do anything different when they "make up" information because they always "make it up".
- Coding skills will be more useful with AI, not less
Learning to code and becoming technical is more important in the age of AI, not less.
- LLMs are dreamers.
There's little relation between what an LLM says it can do and its actual capabilities.
- Coding jobs are safest from AI
If AI can replace coders, it can replace anyone.
- An issue with the AI paperclip optimizer theory
It's unlikely we'll give a monkey access to an AK47
- 2023 is start of AI augmentation, not replacement
In the near future, most jobs will get better and few will get replaced.
- Why can AI chatbots produce scary outputs?
Most written content about AI focuses on doomsday scenarios, and that's what the models learned from.
- Tim Ferriss AI
Ask AI questions about Tim Ferriss or any of his guests and get human-like answers based on what was said in any episode.
- ChatGPT in School
With the right mindset, ChatGPT gives you a superpower.
- ChatGPT
If you can write English and think systematically, you can be a junior dev.
- Neural Networks work but we don't know why
They work but we don't know why