taariqlewis

I hear of software companies with unlimited Claude and Cursor subscriptions offered to their employees. But I am not reading stories of these companies with such massive token resources crushing their markets with either profit growth or revenue growth. Given that their token costs are effectively uncapped, why am I not reading of their growth on the other side of the PNL?I hear of companies with unlimited Claude and Cursor subscriptions, but I am not reading stories of these companies with such massive resources crushing their markets with either profit growth or revenue growth. Given that their What am I missing?

Enterprise AI does not have a model problem. It has an adoption problem.

Today, Fortune highlighted the gap clearly: Companies are pouring tens of millions into AI, while 80% the white collar workforce are either bypassing the tools, not using them, or just straight up sabotaging them. That is not because employees are lazy. It is because most companies rolled out the Ferrari before giving their white collar employees the reason to want to drive the Ferrari, instead of their regular Toyota Prius. Remember, Ferraris are not low-maintenance vehicles! They are expensive, require lots of care, attention, and can be brittle, just like LLMs.

Most enterprise executives forget how cars are usually sold: It's all about the incentives!

If you want real AI adoption, don’t just issue AI directives, token subscriptions and AI usage KPIs. Pay your employees to build the AI habit. I think enterprise companies should seriously look at cash-based perks and incentives tied to increasing AI usage and agentic skill development. If an employee learns how to use AI well, applies it in workflow, and creates measurable productivity gains, that should show up in their non-salary compensation, but not someday. Give the incentive now.

I'm looking for good coaching skills I can use to build up and improve skills with my Claude & Codex subscriptions

Software patents are dead! Pack it up! Hit the Gym! Retirement!

Wall Street just doesn't know it yet, but maybe tomorrow's sell-off?.

Every AI model on Earth can now read, analyze, and design around any precious patent portfolio in seconds.

Billions in software IP value? About to go to zero!

The only reason Anthropic, OpenAI, and Google haven't shipped a "Patent Killer Skill" is that they're terrified of the lawsuit avalanche.

But someone will. And when they do, the $50B patent licensing industry collapses overnight.

We're not ready for this conversation. Agree? Disagree? Fight me in the comments.

I am looking for interesting, complex, and innovative open-sourced AI skills, not just "debug GitHub issues" or "web design guidelines". Any resources?

What makes Seren different:

We're trying to build an AI IDE for non-devs, but that great devs will appreciate.

Open marketplace – 90+ publishers for databases (SerenDB, MongoDB), web scraping (Firecrawl), AI search (Perplexity), email (Google), calendars, CRM, even eSignatures Micropayments that work – x402 USDC on Base network.

No subscription tiers, no credits expiring. Pay per API call.

Databases: Query SerenDB (serverless Postgres), MongoDB, Neon with natural language. Web tools: Scrape websites with Firecrawl, AI-powered search with Perplexity Integrations: Email, calendar, CRM actions. Coming soon: GitHub, Linear, Notion Compute: Run code sandboxes, agent templates, custom workflows Each publisher sets their own pricing. You pay per API call with USDC on Base (x402 standard). No subscriptions, no expiring credits.

What's inside Semantic Indexing Monaco editor with Cmd+K inline AI editing Agent Client Protocol for running Claude Code and compatible agents Model Context Protocol for local MCP servers Multi-model support with free tier (Gemini 2.0 Flash)

The Tech stack Frontend: SolidJS + TypeScript + Vite Backend: Rust + Tauri 2.0 Vector store: sqlite-vec (all local, no cloud) MIT licensed, ~10MB binary Architecture The client is fully open source. It connects to Seren Gateway for:

AI model routing & authentication SerenEmbed API (embedding generation) Publisher marketplace Think VS Code (open source) + Extension Marketplace (proprietary).

Try it GitHub: https://github.com/serenorg/seren-desktop Website: https://serendb.com Current: v0.1.0-alpha.9 (macOS, Windows, Linux)

Because as you vibecode, your devops load and complexity increases even with your fastest AI agents. Welcome to late nights and failing runs!

In a world where your 100x devs can create the same features of your competitors 100x devs. How do companies differentiate their software offerings except with price?

Curious whether AI tooling are making engineers more productive with more free time or more productive with even less free time.