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AI product idea: your teams performance dashboard and continuous review

Ah yes, "Welcome Performance reviews my old friend" as the song goes So I'm using AI to help me write my performance review. I use Glean to pull key data from conversations, documents, tickets and more. I use Gemini to help me write and summarize data. And my manager will use AI when writing their performance review of me. So why not skip all this and build a product around this: a performance dashboard and continuous review for your team Imagine a dashboard of your team viewable by timeframe such as: day, week, month etc. for all activity as well as ability to zero in on specific projects Imagine Agents with specific focus:  Performance review Agent; reviews personnel performance based on custom criteria Career Growth Agent: a coach and mentor for personnel career growth. Feedback tailored to the persons role as well as their next role Career change Agent: want to switch from an IC engineer to Manager role, we have an agent for that Parental Leave Agent: guides you throu...
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cursor commands

I'm liking cursors commands : a way to integrate your common ai prompts into cursor using the / command store your prompts (commands) as markdown in the repo folder, then access in cursor chat using slash command I'm storing my commands in a file in the repo but this is a nice enhancement by cursor
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conductor - manage claude code instances

Running Claude Code in terminals is ok, but I felt managing it all needed a better user interface to organize and track.   conductor is an example of what such a user interface could be
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claude code - technology and usages

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claude code npm tech stack:  typescript - claude code is written in ts (pssst: typescript is a must know language imo) react - ui is written in react and uses ink for interactive command line ink - react components for command line! used by a whole list of AI whos who with command line yoga - embeddable flexbox layout engine and  bun  - js runner, runtime, bundler; choose over webpack/vite etc. because bun is faster) npm to distribute claude code Started as a simple project to query what music someone was listening to. Then added capabilities to access the file system and run batch commands. Usage spread rapidly within Claude Code team who dogfooded it. "around 90% of claude code is written with claude code" (not by, with) claude code is a thin wrapper over the claude model, they deliberately want people to experience the raw model, not obstructed by much business logic a guiding principal is: simplicity, choose the simplest approach possible the most complex part of cl...
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cursor chat token usage

Have you noticed that cursor chat requests can use a lot more tokens than you'd expect?  Matt Pocock said it well: "tokens are the currency of LLMs". You're charged by the token. A little, but it does add up. So we need to pay attention to token usage. I ran some tests in cursor chat to review token usage and was surprised by how many tokens are used by my chat requests. I ran these tests in a large repo which has a number of cursor rules files defined.  Tests: 1. ask a general tech question in chat, not related to specific code in repo; context used : 19.7k tokens prompt: "how should I choose between useSWR and react-router v6 for data fetching?" to contrast, same question in Claude 4.0 outside of cursor user 28 input tokens and 768 output tokens in response to contrast further, same question in Gemini 2.5 Pro outside of cursor used 19 input tokens and 1060 output tokens in response almost one twentieth the token usage of cursor chat!!! wow 2. ask to write...
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stack overflow survey 2025 - links and notes

My notes from the stack overflow survey 2025 Interestingly usage of AI tools is widespread (84%). But  positive sentiment has decreased 10% to 60% since 2024 two thirds of devs are frustrated by AI solutions that are "almost right" and debugging AI generated code is more time consuming (45%) more devs actively distrust (46%) AI tools accuracy than trust it A majority of devs don't use AI Agents, but a majority of those who used say it does increase productivity. But I'll bet that increases significantly by next years survey. There's more details when you drill down into subsections in the survey such as AI Developer tools . e.g. 56% say AI is "bad" or "very poor" or "don't use" AI for complex tasks. And 14% are neutral. Only approx 15% are vibe coding The most popular web frameworks among professionals are nodejs (49%), react (47%), jquery (24%), nextjs (22%), asp.net core (21%) , Express (20%), Angular (20%), vue.js (18%) The mos...
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ai engineer roadmap - Matt Pocock

These are my notes to Matt Pococks aihero.dev course "ai engineer roadmap" https://www.aihero.dev/ai-engineer-roadmap What is An AI Engineer Matt said his course is partly based on article from Latent Space: "The rise of the ai engineer" " An AI Engineer is a software developer who builds applications powered by AI" An AI Engineer needs strong software engineering fundamentals ability to build reliable scaleable applications knows modern AI tools and frameworks focuses on user experience and applications AI Engineers - use models, use prompt engineering, pipelines/chains, optimize cost/speed/performance, infra, evaluate systems. Different to an ML engineer who: build and train models, heavy math, phd level skills Yes, web developers can become AI Engineers. And Typescript is growing fast and makes a great fit for AI systems (well Matt would say that, wouldn't he!..but I do think it's true) What can you use LLMs for? 1. Converting unstructured to st...
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