Follow builders, not influencers.
2026.07.12
Matt Turck
Argentina struggled against the world's #64, almost got eliminated by the world's #26, and they're now in extra time against the world's #19 which is down to 10 players.
Thibault Sottiaux
At different times you complained about speed, code slop, frontend quality, ... With each release we improve and GPT 5.6 Sol is
✅Fast and token efficient
✅Hardcore at back-end dev
✅Great at front-end
✅Does not use useEffect everywhere
What is next?
If you aren't yet bold enough to install the Codex app, you can stay in the presence of your orange crab and point it at GPT 5.6 Sol. Takes 5 minutes. Kudos to Theo for explaining one of the ways to get this done.
Step 1: Install CLIProxyAPI
Step 2: Connect
Step 3: Define following alias and enjoy claudex
```
alias claudex='CLAUDE_CODE_SUBAGENT_MODEL=gpt-5.6-sol \
CLAUDE_CODE_ALWAYS_ENABLE_EFFORT=1 \
CLAUDE_CODE_MAX_TOOL_USE_CONCURRENCY=3 \
ENABLE_TOOL_SEARCH=false \
claude --model gpt-5.6-sol'
```
If this gets blocked, I owe you a reset.
Garry Tan
If you want to supercharge building in California again, you're going to need to repeal and reform CEQA
Millions of units of housing are blocked every year using CEQA. Housing should be built by-right, and not require the level of review it does today. https://t.co/TE4s7Dz7jD
So much could go wrong
But the interesting question is always: what happens if things go right?
Aaron Levie
The job that AI was supposed to replace is experiencing the opposite of the expected outcome. Software job postings are outpacing other fields.
Why is that? If you lower the cost of production of something that has lots of use cases, people want more things produced. We’ve seen this play out in the industrial world constantly, and now we’re finally seeing it in knowledge work.
Because software now is much lower to cost per unit, people want way more of it. So we start to use software for all new things and people and companies light up more software projects than ever before.
But because the job itself is not fully automated (and likely won’t be for as far out as we can see), you still need people that understand these systems to maintain the code, decide what to build, run it over the long run, update it, and more. That all requires people to do work.
The same thing is going to happen in many other fields as well as we bring down the cost of production of previously extremely scarce areas of work. Agents will cause more abundance than replacement.
Swyx
if you only learned about jevons paradox primarily wrt software demand in the age of agentic engineering, you may not have fully internalized jevons parodox’s impact under the conditions of:
- humans who can wield coding agents well*
- coding agents breaking containment to all other knowledge work
as the efficiency of labor goes up/unit cost of knowledge work goes broadly down, the demand for total work and better knowledge goes up, not down.
what happened to coding isnt the exception; it’s the herald.
*aka AI Engineers