Claude Code Head invented a word for what most config files aren't doing: tokenmaxxing.
90% of it lives in one place: ~/.claude/settings.json.
125 keys in v2.1.105. official docs cover 40. 4 of mine aren't anywhere in the docs.
i audited the whole file - 18 settings actually decide what your month costs.
> enabledPlugins - mine had 14 on, 4 actually used. each idle plugin loads hooks and SKILL.md at session start.
> mcpServers.enabled - false instead of delete. 9 unused servers cost ~30K tokens of schema every session.
> cache_control breakpoint at the static/dynamic boundary moved my Opus month from $340 to $87.
tokenmaxxing isn't a vibe. it's a file with 125 keys most people never open.
watch this tonight instead of the new Rick and Morty drop.
Yesterday, I locked myself in my office for 7 hours, inhaling 50+ articles about AI.
I did this to unlock more bandwidth for my team.
But these 7 were too good not to share:
HARVARD RELEASED A 65-MIN MASTERCLASS ON GIT & GITHUB BECAUSE VIBE-CODERS STILL DON'T KNOW HOW TO COMMIT
1 hour and 5 minutes of raw, no-nonsense version control architecture from the creators of CS50.
-> The moment you watch it, you realize why most modern developers are breaking their production branches.
Every tier-1 tech company is now filtering candidates who can't handle basic merge conflicts.
Git isn't a "nice-to-know" anymore -> it's compliance.
Your AI can write the code.
That wasn't the problem.
The problem is you don't know how to merge it without breaking the repo.
Donโt forget to bookmark it.
"let it cook" is the line Anthropic engineers just repeated all day at Code with Claude London.
Boris Cherny said it in the keynote. Ravi Trivedi said it in the next talk. Katelyn Lesse said it at the panel.
it means: stop micromanaging the prompts. write the routine. let Claude prompt itself.
his framing:
> routines are higher-order prompts.
> the runtime is shipped.
> the prompts are the bottleneck.
what they didn't say on stage: most routines die without 3 specific properties.
i tested 30. 9 made it. the other 21 violated one of the three.
the 9 that survived are in the article.
all verbatim, just copy-paste.
worth more than $300 of "prompt engineering consulting" before you build anything.
App development has completely transformed with agents, but the underlying databases have been largely unchanged since the 1980s.
Meet: Lakebase.
Lakebases are enabled by a fundamentally new design. The core breakthrough is separate storage and compute. Data sits directly in low-cost cloud storage in open formats, while the compute layer runs independently on top. And fully managed, serverless Postgres scales up instantly with demand and down when idle.
Learn about this new era of databases: https://t.co/fi0Fe15MCa
Microsoft Defender was able to confirm a small but noticeable uptick in installations of OpenClaw initiated by Cline CLI installation script during the supply chain compromise of their NPM package that lasted approximately eight hours on February 17, 2026 between 11:26 and 19:30 UTC. Organizations using Cline CLI should urgently check environments for unexpected OpenClaw installations.
Cline is an open-source AI coding agent. On February 17, 2026, Cline published an advisory that an unauthorized party had used a compromised npm publish token to publish an update to Cline CLI on the npm registry: https://t.co/1WcoXCIWIf.
The altered npm package ([email protected]) was modified to perform the installation of OpenClaw as post-install script, as initially discovered and demonstrated by a security researcher: https://t.co/9dIGuju7dj. A corrected version has since been released.
For more information on the risk arising from self-hosted agent runtimes like OpenClaw, including monitoring and hunting guidance, read this blog: https://t.co/P4JpYK25Za
I now constantly get questions about the SAAS meltdown, role of AI, system of records etc. I don't have an answer to all these.
But I do know that we saw an acceleration in our business in Q2, Q3, and now finished the year with accelerating Q4.
The question is, why?
Short answer: AI. But the underlying reason is subtle. We are growing fast because we are finally removing the biggest bottleneck in data: the technical barrier to entry.
For years, if you didnโt know SQL, Python, you were locked out of the value chain. That has changed fundamentally with the ๐๐๐ง๐ข๐ ๐๐๐ฆ๐ข๐ฅ๐ฒ, and it is the "secret sauce" behind our recent momentum:
โข ๐๐๐ง๐ข๐: Analysts can query data without any SQL. I use this every day myself.
โข ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐ ๐๐๐ง๐ข๐: Builds end-to-end AI models for you, similar to Cursor for ML on your data.
โข ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ ๐๐๐ง๐ข๐: Write Spark pipelines, does plumbing, troubleshooting.
We've been talking about DATA + AI democratization, but generative AI finally enabled it in a way that wasn't possible before. That's why we're seeing a market response.
Take ๐๐๐ค๐๐๐๐ฌ๐ ๐๐จ๐ฌ๐ญ๐ ๐ซ๐๐ฌ. We launched this serverless engine for agents and apps recently. At 8 months into its journey, its revenue is already 2x what our Data Warehouse product was at the same stage.
All this taken together, we ended up with the following stats for Q4:
๐ $5.4B Revenue Run-Rate, growing >65% YoY
๐ $1.4B AI Revenue Run-Rate
๐ FCF Positive for the year
๐ NRR >>140%
https://t.co/yq3riYyr8r
Learn Databricks in under two hours as @Alex_TheAnalyst walks through the platform end to end, including:
โ Importing files and data sources
โ Exploring SQL Editor and notebooks
โ Building dashboards
โ And trying out AI tools like Genie and the Databricks Assistant
Follow along with Databricks Free Edition: https://t.co/O0hvebUeFZ
Stop wasting time. If you want to master Large Language models, dive right in. Beginners? Try the Hugging Face Transformers library. Not a novice? Explore OpenAI's GPT-3. Looking for community support? Hit up Stack Overflow and AI Alignment forums. Learning comes from doing.
Are businesses doing enough to keep up with the pace of disruption? Find out with the Dell Technologies Digital Transformation Index. https://t.co/ZP7xkR6So8