Maedah Batool

New role: Product Lead at @CommandCodeAI 🥳 After building developer experience at Vercel (Next.js) and then Sourcegraph, I'm going all in on what comes next. Excited to announce that I've joined Command Code to build and shape the next frontier of developer experience. I'll be working across Product and GTM to help developers take command of their code. Command Code is the first frontier coding agent that both builds software and continuously learns your coding taste via `taste-1`, our meta neuro-symbolic AI model. We're hiring in SF and globally. Come work with us on building the future of agentic engineering. Let's goooo!!

@MahamDev Taste is the real moat. 🔥

@paw_lean Congrats, super happy for ya! 🥳

Locked in forever 🤍

@MahamDev @CommandCodeAI Thank you 🤩

@MaedahBatool @CommandCodeAI Woohoo! Happy to have you onboard and excited to learn from you 🎉

New role: Product Lead at @CommandCodeAI 🥳 After building developer experience at Vercel (Next.js) and then Sourcegraph, I'm going all in on what comes next. Excited to announce that I've joined Command Code to build and shape the next frontier of developer experience. I'll be working across Product and GTM to help developers take command of their code. Command Code is the first frontier coding agent that both builds software and continuously learns your coding taste via `taste-1`, our meta neuro-symbolic AI model. We're hiring in SF and globally. Come work with us on building the future of agentic engineering. Let's goooo!!

@MrAsharIrfan @CommandCodeAI Thanks Ashar 😇

@MaedahBatool @CommandCodeAI Welcome aboard! Looking forward to growing Command Code together. Let's go!

@CommandCodeAI let’s build together 🤍

@MaedahBatool Woohoo! 🥳🥳🥳

@vipulgupta2048 @CommandCodeAI Thanks Vipul. 🎉

@MaedahBatool @CommandCodeAI Great to have you part of the team, Maedah. Looking forward to doing so much more together!!

@MrAhmadAwais @CommandCodeAI Let's gooo!! 🥳

@MaedahBatool @CommandCodeAI Woohoo! Super stoked to finally have you onboard. From our first few angel investors to now leading product. This is going to be an awesome ride. Let's go!! 👊

@arre_ankit @CommandCodeAI Thanks Ankit! 🔥

@MaedahBatool @CommandCodeAI Excited to have you on the team and guiding us! 👊

@AhmadBilalDev @CommandCodeAI Thank you 🙏

@MaedahBatool @CommandCodeAI Glad to have you on the team. Have already learned a lot from your product leadership, super excited for the future. 🙌

@tessak22 @tabstack Woohoooo they're lucky to have you Tessa. 🔥

April 7 I’m starting at Mozilla! I’ll be the first GTM hire for @tabstack, a new browser automation infrastructure platform. Getting to pave the way towards market success. It’s a little bit of everything I love to do from coding demos to writing marketing copy to building partnerships. It’s a role I never thought I’d find, yet here it is. Best part, I didn’t even apply! Someone amazing at the company referred me and the hiring manager reached out. It’s almost like it was divine intervention. 😏

@MrAhmadAwais Ohhh this is suchaaa useful thing. I gotta try this!!! 🔥

Introducing mmmodels 𝌭 𝚖𝚖𝚖𝚘𝚍𝚎𝚕𝚜 is a CLI for browsing, filtering, and exploring AI models from hundreds of providers. Built for both humans and agents. $ 𝚗𝚙𝚡 𝚖𝚖𝚖𝚘𝚍𝚎𝚕𝚜 I wanted one terminal-native place to answer questions like: - what models exist (fuzzy search) - who ships them at what price - how much context they have - what they cost (esp caching) - which ones support tools, reasoning, files, or structured output The data is all there. The workflow as a CLI was missing. Cognitive load of issues like: Name drifts. IDs collide across providers. Pricing and capability metadata changes constantly. The browser/tab workflow is too slow if you do this often (as someone building a frontier coding agent). Again built with Command Code, with my CLI taste. What it does well: - no-arg interactive TUI for browsing `mmmodels` all you need - fuzzy search across model IDs, model names, and provider names - filtering by provider, capabilities, and status - explicit sorting and limiting with `--sort` and `--limit` - agent-friendly output with `--fields`, `--ids-only`, `--ndjson`, and `--json` - width-aware terminal tables that fail cleanly instead of overflowing - `--plain` mode for scripts, CI, and remote boxes - local disk cache with offline-friendly fallback behavior A few examples: $ mmmodels claude $ mmmodels list --provider anthropic --table $ mmmodels search gpt --provider openai --json $ mmmodels search claude --fields id,provider_id,limit.context,cost.input One subtle feature I like: provider-aware ranking. If the same model family appears from multiple providers, search prefers the default source for that family instead of returning an arbitrary duplicate first. Under the hood the search is custom-scored. PRs welcome. Queries are tokenized, normalized, version-aware, and AND-matched across candidates. Version tokens like `4.6` are handled carefully so they do not accidentally match `4.5`. Caching is simple on purpose: - in-process cache - disk cache in tmp - network fetch from source - do --sync or -s with any command to fetch live Normal mode goes memory -> disk -> network. If the fetch fails, it falls back to disk cache instead of hard-failing. Tables are width-aware. Each column has min/max widths and alignment. The renderer fits the table to the current terminal width, and if the requested columns still do not fit, it errors instead of wrapping into unreadable soup. `--plain` actually means plain: - no banner - no color - no spinner - booleans rendered as `yes/no` - ASCII connectors instead of box-drawing glyphs No dashboards. No browser spelunking. Big win. Need I say more. Just: $ npx mmmodels Or install it globally: $ npm i -g mmmodels If you work with models a lot and prefer terminals over tabs, try it. ⌘ Built with Command Code.

@MrMalikFarhan @CommandCodeAI Noice

Day 4 of learning to code as a PMM. Connected GitHub to @CommandCodeAI via MCP today. One command in my terminal. Now it can read repos, review PRs, create issues without ever leaving the terminal. Can your coding agent do this?

@vipulgupta2048 I want this when my agent is thinking. Love it super cool!!! 🔥

Introducing token-snake 🐍 A terminal snake game to play while your agents think. The food is LLM tokens and hallucinations are the enemy. I got bored staring at agent spinners and flabbergasting status messages. So I built a game right in the terminal. Try it out with, $ npx token-snake Under the hood: - Zero runtime dependencies. Pure Node.js built-ins only. - No flicker = alternate screen buffer + DEC Mode 2026 synchronized output - Music is PCM WAV synthesized in memory. No audio files. No libraries. Just math. Just math & vibes. Try with retro style chiptune music. $ npx token-snake --music Hooks, levels & more powerups coming soon! Have fun!

@MrAhmadAwais Love to see you ship all these incredible projects. 🥳

Introducing ⌗ 𝚖𝚘𝚗𝚘𝚜𝚙𝚊𝚌𝚎𝚍 ⌗ Tiny web app that turns plain text into unicode monospace text. Browse it on the web 𝚖𝚘𝚗𝚘𝚜𝚙𝚊𝚌𝚎𝚍.𝚊𝚠𝚊𝚒𝚜.𝚍𝚎𝚟 Run as a tiny rust based CLI $ 𝚗𝚙𝚡 𝚖𝚘𝚗𝚘𝚜𝚙𝚊𝚌𝚎𝚍 I often find myself turning terminal commands into monospace style unicode text before posting on 𝕏. No ads (lol). Fixed-width. Typewriter-ish. Terminal-ish. Copy/paste anywhere. Paste text in, get unicode monospace out, copied to clipboard. Again built using Command Code, with my frontend coding taste. 𝚌𝚖𝚍 is getting better at continuous learning, the more i build. 𝚄𝚂𝙰𝙶𝙴: Plain text in: $ npx chartli Monospace out: $ 𝚗𝚙𝚡 𝚌𝚑𝚊𝚛𝚝𝚕𝚒 Useful for a bunch of things: - 𝕏 posts - code snippets - retro typewriter vibes - fixed-width tabular data - old-school terminal aesthetics - bios, captions, handles, posts The nice part is this is real text, not a styled image. Under the hood the app maps regular Latin letters and digits to Unicode monospace code points. So the output is still copyable text that usually works across X, Facebook, SMS, notes, docs, and websites. Current behavior is intentionally simple: 1. paste text 2. convert instantly 3. auto-copy when possible ⌘

@tessak22 So good to hear. All the best. 🙌

Officially signed my offer letter. Y'all are never going to guess where I'm headed. 👀

@MrAsharIrfan Dope 🔥

Introducing `repolens` 🔍 A fast, extensible CLI for understanding any codebase instantly. Built with Command Code. Core pipeline: URL/Path → Clone → Scan → Parse → Analyze → Output $ npm i -g @asharirfan/repolens $ repolens analyze ./my-project

@vipulgupta2048 @CommandCodeAI Welcome to the team, super stoked to have you. Let's gooo!!!! 🥳🥳🥳

Happy to announce, I joined @CommandCodeAI as their Developer Experience Engineer in January '26! Command Code is a terminal-based coding agent that continuously learns your coding taste. So it codes like you, not just what you ask for. That's the hard problem worth solving. I own developer experience end-to-end - Key features, agent infra, and eliminating friction wherever it hides. Before I even interviewed, I spent $110 worth of credits stress testing Command. Catalogued 5–6 pages worth of DX papercuts. Presented it to the team. Eight weeks in. 77 PRs. 309 contributions. Every problem I found in that stress-test? Fixed! Read how it all happened below! PS: We're hiring --> Shoot your shot in the comments.