Thomas Dohmke
Founder and CEO, Entire. On 3 shows, 2 appearances. The Shows tab opens the full record on each.
executivefounderengineer@ashtom ↗LinkedIn ↗github.com/ashtom ↗Wikipedia ↗
Thomas Dohmke served as the CEO of GitHub from 2021 through 2025, leading the company through the rise of AI developer tooling, most notably GitHub Copilot. Earlier in his career, he co-founded the crash-reporting startup HockeyApp, and in 2026 launched Entire to build developer infrastructure for AI coding agents.
3shows
2appearances
48statements
12resolved
12supported
0contradicted
100%fully supported
Everything Thomas Dohmke said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Dohmke: No single AI model will ever dominate software development
“There is never going to be one single model that rules them all, but the world of software development is just way too broad for this.”
Dohmke: Context-aware AI agents with tool calls outperform fine-tuned models
“So this iterative process that the agent does with the help of the tool calls in all the context makes it so much more powerful than a fine-tuned model could ever be.”
Dohmke: Seamless developer-to-agent transition is key to winning AI dev tools
“Enabling developers to move between those categories and being able to pick the agent That provides the best ROI or do it themselves. I think that's the key for winning in the next few years.”
Dohmke: AI coding agents require 90% benchmark accuracy for broad adoption
“90% is going to be the min bar for broad adoption and saying this is now established technology and we need to look for the next big thing.”
Dohmke: Primary developer skill will become task specification for AI agents
“And then the skill of the developer will be to know how to describe the task in such a way that the agent can do the job with almost no additional revisions needed.”
Dohmke: Simple software replaced by prompts will lose value
“Everything that I can easily replace with a single prompt is, is not going to have any value. It will have the value of that prompt and the inference and the tokens, but that's often a few dollars.”
Dohmke: Copilot will resolve GitHub issues via draft PRs in 2025
“But we think, you know in 20, 25, we get into a place where you can assign a GitHub issue, a well-defined GitHub issue to a co-pilot and then it starts creating a draft pull request and it outlines the plan and then it works through its plan and you can, simil…”
Dohmke: AI agents remain far from replacing median developers in systems thinking
“I think that's the part where we're far away from agents actually being good enough to take a very rough idea and break it down to small pieces without you as developer or as architect, or even when planning your travel, constantly getting questions back of wh…”
Dohmke: Software teams will always require human review before production merges
“And while we don't believe that goes away from a pure security and trust perspective, you always want to have, you know, Another human in the loop before you merge code into production.”
Dohmke: Programming languages remain the essential deterministic layer below AI prompts
“We have the machine language layer, you know, which is Python or Ruby or Rust, right? Those are effectively abstractions of the chipset and the machine instruction set. And that's the last layer that's deterministic, right? Like programming language inherently…”
Dohmke: AI will converge product management, design, and engineering roles
“I think tomorrow you're going to, as a designer, type effectively the same specification as a product manager and you have, you know, an AI to render the code for the wireframes and then apply, you know, grounding out of your design system to make it look like…”
Dohmke: Developer tool differentiation will come from UX, not models
“And so I think the differentiation is going to come from both, you know, where the developer gets the most The best experience and doing that day to day, right? Like where can I, you know, start my morning, pick up, you know, something I want to work on, explo…”
Dohmke: Completely personalized, natural-language software will arrive in five years
“I think that future that will happen
in the next five years, for sure.
It's just the question is how, how good this job is going to be, and can I just tell it, Springbank is coming up, same hotel, same family, you know, say, and it books me the trip, and the …”
Dohmke: Copilot yields 25-28% end-to-end developer productivity gains
“And then we're talking about, you know, 25, 28% productivity gains on, on the end to end 55% or higher on, on the coding task.”
Dohmke: AI software pricing will be compute-based rather than human-salary equivalent
“I think it's going to be compute based or some unit that's, you know, a derivative of,
Compute as a metric.”
Dohmke: AI was part of Microsoft's 2018 GitHub acquisition memo
“One additional thing was in fact AI and saying, we believe there's a future that where we can train AI models on the graph is I think what we called it of all the source code that is stored on, on GitHub, but also on the relationships between the developers, y…”
Dohmke: OpenAI's Codex solved over 90% of GitHub interview coding exercises
“I think the model was able, when, with multiple attempts to solve more than 90% of these coding exercises, of these two and 30 coding exercises.”
Dohmke: Most company codebases are too small for meaningful fine-tuning
“If you look at the individual repository or set of repositories, that code base isn't actually big enough to have a meaningfully fine tuned model.”
Dohmke: Most developers have adopted AI tools, unlike other knowledge workers
“Most developers have adopted some form of AI tooling into the workflow already, while other knowledge workers, other white collar workers are still early in that adoption journey.”
Dohmke: Copilot AI competitors run model inference on Azure AI Foundry
“Many of these AI code generation companies that compete with GitHub Copilot are running their inference on Azure AI Foundry.”
Dohmke: Open-source AI innovation equals proprietary model innovation
“As much as there's innovation on proprietary models and software, there is as equal amount of innovation in open source.”
Dohmke: AI dev tools will remain a multi-vendor ecosystem
“In AI, I think we're going to see the same thing. We're going to see a stack or universe of companies that offer different parts of the software development life cycle, and developers pick the one that you know, they like the most, that they have experience wi…”
Dohmke: AI agent supply is infinite and constrained only by GPU capacity
“Human developers are expensive because there's limited supply agents will have infinite supply that, that will only be limited by the amount of compute capacity GPUs available in data centers.”
One line per show, most statements first. The link opens Thomas's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 MADLEDGER | Founder and CEO, Entire | 1 | 24 | 100% 5/5 | full record on the MAD Podcast → |
 NO PRIORSLEDGER | Founder and CEO, Entire | 1 | 24 | 100% 4/4 | full record on No Priors → |
 BIG TECHNOLOGYLEDGER | Founder and CEO, Entire | 0 | 0 | 100% 3/3 | full record on Big Technology → |