Ahmad Awais
Founder & CEO, CommandCode.ai. On 1 show, 1 appearance. The Shows tab opens the full record on each.
founderexecutiveengineerinvestor@MrAhmadAwais ↗LinkedIn ↗ahmadawais.com ↗
Ahmad Awais is the founder and CEO of CommandCode.ai, an AI coding agent platform designed to continuously learn developer coding preferences. A multi-time GitHub Stars award recipient, he created developer tools used by millions and contributed open-source code utilized in NASA's Ingenuity Mars Helicopter mission.
1shows
1appearances
19statements
0resolved
0supported
0contradicted
Everything Ahmad Awais said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Awais: Claude Code hides 50+ tool-call failures per session on DeepSeek
“In CloudCode you know, they hide a lot of the errors behind control O, right? So you don't even know that, you know, you have like 50 plus tool call failures plus per session. You're just sitting there and you're like, oh, why is DeepSeq so slow?”
Awais: There is only one type of AI agent, the coding agent
“There's only one type of agent, and that is a coding agent. It can do it all, right?”
Awais: Open LLM coding failures are harness issues, not model issues
“So I feel like this always ends up being a tool call, a hardness issue. Then, you know, an actual model issue.”
Awais: Interactive permission prompts degrade coding agent model performance
“If you run any coding agent with permissions on, The models are actually number. And if you run them without, you know, the complete bypass of permissions, they do much better. Even if you like sit through those yes, yes, yes, accept or whatnot, you will see t…”
Awais: AI design slop is a contract gap, not a model capability deficit
“Feels like you can fix 90% of a design slop, which is not a capability gap. It's more like a contract gap in what your harness is telling an LLM to do versus what your user is saying.”
Awais: Design is now the key differentiator in software as building gets commoditized
“Like a lot of people are right now able to build just about anything. And we are now differentiating between good work and bad work based on their design.”
Awais: Deterministic tool repair with hints fixes model tool-calling loops
“What we saw is the moment you send the result with the repair logic, right after that, the third tool call is fixed. Instead of, you know, it all of a sudden becomes super smart. It understands like, okay, I got the result, what I was looking for, and I'm gonn…”
Awais: CommandCode has 16,000 tool repair variations across 600B tokens
“And now we have like 16,000 different repair, you know, variations across hundreds of billions of tokens. We are doing anywhere from six hundred billion tokens right now.”
Awais: Reducing tool call errors enables LLMs to sustain longer exploration
“Like if they are seeing a lot less tool call errors, they're much more creative. They are, they can explore a lot and they can continue a lot longer.”
Awais: Forcing LLMs to use OKLCH significantly improves color palette control
“I personally don't use OKLCH, but apparently LLMs are really good at it. And if you see them using HSL or something, they are, they don't actually are able to control the lightness in HSL very quickly, but on to human eye, it's very, very easy to see like this…”
Awais: Claude tolerates tool errors and self-corrects, unlike open models
“Claude is actually really, really lenient for tool calls. So even if, you know, your coding agent harness messes up, it can figure out that, oh, I'm being sent this error and can fix itself. Not the case with you know open models”
Awais: Skills files shouldn't duplicate knowledge LLMs already have
“If an LLM already knows about something, it should not end up in your, you know, skill or taste file. That is absolutely useless context, right?”
Awais: 70+ developer study showed CommandCode Taste cut edits and steering
“We ran a study with like 70 plus developers in the number of times that they had to go edit files because their LLM made a different, you know, the scene took a different turn, or steer their LLM like, yeah, don't do this, don't use this, don't use TRPC or som…”
Awais: Devs bootstrap Taste files with frontier models, then execute cheaply
“A lot of people, what they're doing is they're building one project with a really high quality LLM, like Opus or GPT, 5.5, right? They're building a taste file, and then they're using, you know, super cheap models to continuously build on that more.”
Awais: LangBase grew to 1.2 billion agent runs per month
“It was called LangBase. It grew quite big 1.2 billion agent runs a month ended up building a memory infrastructure or whatnot.”
CommandCode offers 600 million DeepSeek tokens for $1 per month
“We launched a Go plan with just dollar one per month to, where you can do like, six hundred million tokens of DeepSQL for Pro in it, just to prove like, open models are actually really, really good, and they are catching up, right?”
Awais: CommandCode will open-source its codebase soon
“So we are going to open source command code very, very soon. I'm hoping we can announce that on the AI engineering conference, NSF.”
Awais: Matt Mullenweg is an angel investor in CommandCode
“Matt is actually one of our angels now. When he heard that we are open sourcing command code, he reached out.”
One line per show, most statements first. The link opens Ahmad's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 LATENT SPACELEDGER | Founder & CEO, CommandCode.ai | 1 | 19 | — | full record on Latent Space → |