Forty-five terms your development team will use with you, grouped by when you will hear them, each with what it means for your product.
Technical jargon is the specialized vocabulary people in a field use for the things they build and the way they work. In software, it is the language your development team will use with you whether you understand it or not: "we'll expose that through the API," "it's in staging," "that's technical debt we can pay down after launch."
None of those sentences requires you to learn to code. All of them require you to know roughly forty words.
Below are 45 terms, grouped by when you will hear them: while your product is being built, when it runs, when it handles data, when someone says "AI," and when you are hiring the people who will do all of it. Each one ends with what it means for you, because a definition on its own is the least useful part.
Jump to: How your product gets built · Where it runs · Data and security · The AI terms of 2026 · Hiring and working with an agency · Jargon that should worry you · FAQ
What technical jargon means, and why developers use so much of it
Most jargon is precision. "Deploy" means one specific thing and "put it live" could mean four. When an engineer says "the migration failed" they are telling a colleague exactly what to look at, and the sentence would take a paragraph without the word.
Some of it is habit. People who spend all day in a vocabulary stop noticing it is one, the same way a lawyer says "tortious" at dinner.
And a little of it is a way of ending a conversation. Nielsen Norman Group's research on jargon in interfaces makes the point that specialized language reduces comprehension for everyone outside the specialty, and the same is true in a meeting. A good development partner translates without being asked. If you are having to ask every time, that is information about the partner, not about you.
The tech jargon terms you'll hear while your product is being built
1. MVP (minimum viable product)
The smallest version of your product that real users can use and pay for, built to test whether the idea holds before you build the rest.
What it means for you: It is a scoping decision, not a quality level. A good MVP is small and finished, not large and rough. Our MVP Builder engagement exists because "minimum" is the hard part.
2. Tech stack
The set of languages, frameworks, databases and tools your product is built with. "Rails, Postgres and React on AWS" is a tech stack.
What it means for you: Once chosen, it decides who you can hire and what an upgrade costs later. Ask why each part was chosen, not just what it is.
3. Framework
A large body of pre-written code that handles the routine parts of building an application, so a developer writes only what is specific to yours. Ruby on Rails is the one we build with.
What it means for you: Frameworks have versions and versions expire. "What version are we on, and is it still supported?" is a question worth asking twice a year.
4. Frontend
The part of the application users see and interact with: screens, buttons, forms, the layout on a phone. Built in HTML, CSS and JavaScript.
What it means for you: Frontend changes are the ones you can see, so they feel like most of the work. They are usually less than half of it.
5. Backend
The part users do not see: the server-side code that stores data, enforces rules, processes payments and talks to other services. The frontend asks; the backend answers.
What it means for you: Most of what makes an application reliable, secure and fast lives here. When a demo "works," ask what the backend is actually doing behind it.
6. API (application programming interface)
A set of rules that lets one piece of software talk to another. Your app uses Stripe's API to take payments and Google's API to sign users in; your own API is how a mobile app or a partner reaches your data.
What it means for you: Every API your product depends on is a company whose pricing, uptime and terms you do not control. Keep a list.
7. Database
Where your application's data lives: users, orders, messages, everything. PostgreSQL is the one under most Rails applications, including ours.
What it means for you: The database outlives every screen and most of the code. Decisions made about it in month one are still there in year five.
8. HTML and CSS
HTML is the markup that gives a web page its structure; CSS is the stylesheet language that controls how it looks. Together they are the raw material of every screen in a browser.
What it means for you: Neither is "programming" in the sense that matters for hiring. A designer who knows both is not a developer, and a developer who is weak in both is not a frontend developer.
9. Repository and version control
A repository ("repo") is where your code is stored, with every change recorded. Git is the version-control tool that does the recording; GitHub is the most common place to host it.
What it means for you: The repository is your product. Make sure your company owns the account it lives in, not your developer or your agency.
10. Sprint and backlog
A sprint is a fixed working period, usually one or two weeks, with an agreed list of work. The backlog is everything not yet scheduled, in priority order.
What it means for you: If you cannot see the backlog, you cannot see what your money is buying next. Ask for access, not a summary.
11. Staging versus production
Production is the live application your customers use. Staging is a private copy where changes are tested first. A "staging environment" is the dress rehearsal.
What it means for you: "It works on staging" is not the same as "it is live." Ask which one you are being shown.
12. Deploy and hotfix
To deploy is to move code from the repository to production so users get it. A hotfix is a small, urgent deploy that fixes something broken in production, outside the normal schedule.
What it means for you: Ask how often the team deploys and how long a deploy takes. Daily and minutes is healthy. Monthly and a weekend is a warning sign.
13. Test coverage and QA
Automated tests are code that checks other code still does what it did yesterday. Coverage is the share of your application those tests exercise. QA (quality assurance) is the human and automated process of catching problems before users do.
What it means for you: Coverage is the number that decides how safely anything can be changed later. A codebase with no tests is one where every change is a risk, and every quote for changing it is padded to cover that risk.
14. Technical debt
The future cost of a shortcut taken today. Every time a team ships something the fast way rather than the right way, the difference is debt, and it accrues interest in slower features and more bugs until it is paid down.
What it means for you: Some debt is a sensible choice. Undocumented debt is not. Ask your team to keep a list, and ask what is on it before every roadmap conversation.
The terms for where your product runs
15. Cloud computing
Renting computing power, storage and services over the internet instead of buying servers. Amazon Web Services, Google Cloud and Microsoft Azure are the three large providers.
What it means for you: Your cloud bill scales with your users and with careless engineering. Ask for it monthly, in dollars, alongside the sprint report.
16. Hosting and servers
A server is the computer, physical or virtual, that runs your application and answers requests. Hosting is the service of providing and running that computer for you.
What it means for you: Whoever holds the hosting account holds your product. It should be your company's account, with your credit card, and your developers as invited users.
17. CDN (content delivery network)
A network of servers around the world that keeps copies of your images, scripts and files close to users, so pages load faster than they would from one location.
What it means for you: Cheap, standard, and worth asking about the day you have customers in a second country.
18. Uptime and SLA
Uptime is the share of time your product is available. An SLA (service level agreement) is the contract term that promises a level of it, and says what happens when it is missed. "99.9% uptime" allows about 45 minutes of downtime a month.
What it means for you: Ask what your hosting and your key APIs promise, and what your own customers will expect from you. The two numbers need to line up.
19. Scalability
How well the product copes as usage grows: ten times the users, ten times the data, ten times the requests per second. A scalable system gets bigger by adding capacity, not by being rebuilt.
What it means for you: Nobody needs to scale before they have users. What you need is a team that knows where the limits are and has a plan for the first one you hit.
20. Latency
The delay between a user doing something and the product responding. Measured in milliseconds; noticeable above about a quarter of a second.
What it means for you: Slow is a business metric. Users leave, search engines demote, and both are measurable. Ask for page-load time as a number, not an adjective.
21. DevOps and CI/CD
DevOps is the practice of running the systems that build, test and deploy your code, as one job rather than two teams. CI/CD (continuous integration and delivery) is the automated pipeline that tests every change and moves it toward production.
What it means for you: A working pipeline is why a team can deploy daily without fear. If yours deploys by hand, that is a cost you are paying on every release.
22. Containers and Docker
A container packages an application with everything it needs to run, so it behaves identically on a developer's laptop, in staging and in production. Docker is the tool most teams use to build them.
What it means for you: You will hear it as a reason things are reproducible. You will also hear it as the reason nobody has to say "works on my machine" anymore.
23. IoT (Internet of Things)
Physical devices, from thermostats to industrial sensors, connected to the internet and sending data to software that acts on it.
What it means for you: If your product has hardware in it, the software is usually the easier half. Budget accordingly.
The terms about your data and your users' security
24. Authentication versus authorization
Authentication is proving who you are (logging in). Authorization is what you are allowed to do once you are in (an admin can delete; a customer cannot). They are separate systems and separate mistakes.
What it means for you: Most security incidents are authorization problems: a user who could see something they should not. Ask how roles are enforced, not just how login works.
25. Encryption
Scrambling data so it can only be read with a key. "In transit" means while it travels between user and server; "at rest" means while it sits in storage. Both are expected now, not optional.
What it means for you: If a partner cannot tell you in one sentence what is encrypted and how, keep asking.
26. Cookies
Small pieces of data a website stores in a user's browser to remember them: that they are logged in, what is in their cart, what they clicked.
What it means for you: Cookies are why you have a consent banner. They are also what analytics and advertising run on, so decisions about them are legal and commercial as well as technical.
27. Compliance: GDPR, SOC 2, HIPAA
The regulations and standards that govern how you handle data. GDPR covers personal data of people in the EU; HIPAA covers health information in the US; SOC 2 is an audited standard that enterprise customers ask vendors to meet.
What it means for you: Which ones apply depends on your customers, not your location. Work it out before the first enterprise sales call, because that is when you will be asked.
28. Backups
Copies of your data kept separately from the live system, so it can be restored after a mistake, a failure or an attack. The two questions are how often they are taken and whether anyone has tested restoring one.
What it means for you: A backup that has never been restored is a hope, not a backup. Ask when the last test was.
29. Big Data
Data sets too large or too fast-moving to handle with ordinary tools, and the techniques for analyzing them. Mostly a term from the 2010s that now means "a lot of data, done properly."
What it means for you: You almost certainly do not have it yet. When a pitch leads with it, ask what decision the data will change.
30. Open source
Software whose code is public and free to use, modify and share. Rails, PostgreSQL, Linux and most of what your product is built on are open source.
What it means for you: Free to use is not free to run. Every open-source library in your product needs someone keeping it up to date, and that is a real line in your engineering budget.
31. Low-code and no-code
Platforms that let non-developers build applications by configuring rather than programming. Fast for a prototype, an internal tool or a landing page.
What it means for you: The limits arrive at scale, at customization and at the point where you need to own what you built. We compared the two paths in Ruby on Rails vs. No Code.
32. Blockchain
A shared ledger that many computers keep identical copies of, designed so records cannot be quietly altered. The technology under cryptocurrencies, and occasionally useful elsewhere.
What it means for you: Almost no product needs one. If yours might, the question to ask is what a normal database could not do.
The AI terms every founder is hearing in 2026
Most tech glossaries still do not define an AI agent, and every founder is being pitched one. These seven are the terms that will come up in your next investor meeting and your next sprint review.
33. LLM (large language model)
The kind of AI model behind ChatGPT, Claude and Gemini: trained on enormous amounts of text, it predicts language well enough to write, summarize, answer and generate code.
What it means for you: When a developer says "we'll use an LLM for that," ask which one, what it costs per request, and what happens when it is wrong.
34. AI agent
Software that uses an LLM to decide what to do next, not just what to say: it can read a ticket, write code, run tests and open a pull request without a person directing each step.
What it means for you: Agents are real and useful and they need supervision. We rebuilt our own process so agents could pick up tickets, and the supervision was most of the work.
35. Prompt
The instruction given to an AI model. Prompt engineering is the practice of writing instructions that get reliable results, which is harder than it sounds and easier than it used to be.
What it means for you: If a feature depends on a prompt, the prompt is code. It should be versioned, tested and owned like code.
36. Context window
How much text a model can hold in mind at once, including your question, the documents you give it and its own answer. Exceed it and the model forgets the beginning.
What it means for you: It explains a category of "the AI got confused" bug. It is also why "just feed it our whole database" is not a plan.
37. Hallucination
When a model states something false with complete confidence: a citation that does not exist, a function that was never in the library, a policy your company never had.
What it means for you: Every AI feature that shows text to a customer needs a plan for this. Ask what it is.
38. Vibe coding
Building software by describing what you want to an AI tool and accepting what it produces, without reading the code closely. Fast for prototypes; risky for anything with users and data.
What it means for you: A vibe-coded prototype is a fine way to test an idea. It is not a fine thing to put customers on. We wrote about what vibe coding is and where it breaks.
39. AI-generated technical debt
The specific kind of debt AI tools leave behind: code that works in a demo but has no tests, duplicated logic, missing security checks and architecture nobody decided on. It is the most common reason a 2026 codebase needs a rescue.
What it means for you: If any of your product was built with AI tools, and most now are, budget for an audit before the first big feature. It is what our AI Code Fix track exists for.
The terms you'll hear when hiring or working with an agency
40. Fractional CTO
A senior technical leader who works with your company part-time: owning architecture decisions, the technical roadmap and the judgment calls that are expensive to get wrong, without the salary of a full-time executive.
What it means for you: It is the answer to "who checks the work" when nobody on your side can read the code. More in What Is a Fractional CTO?
41. Technical co-founder
A founder who owns the technical half of the company: builds the first version, makes the architecture decisions, hires the engineers. Usually compensated in equity rather than salary.
What it means for you: You need the function, not necessarily the person. The founders in our list of non-technical founders solved it three different ways.
42. Discovery phase
The short, paid period at the start of an engagement where the team works out what to build, what it will cost and what the risks are, before anyone commits to the whole project.
What it means for you: A partner who skips discovery is guessing at your scope and pricing the guess. Pay for the two weeks.
43. Scope and change request
Scope is the agreed list of what will be built. A change request is the formal way of adding to it, with the cost and time attached, so nothing is added quietly and billed later.
What it means for you: The change-request process is the single best predictor of whether a fixed-price project ends on budget. Ask to see the form before you sign.
44. Fixed price versus time and materials
Fixed price: one agreed cost for an agreed scope. Time and materials: you pay for the hours worked at an agreed rate. The first shifts risk to the supplier; the second gives you flexibility and the bill.
What it means for you: Fixed price suits a well-defined build. Time and materials suits a product that will change as you learn. Most mature agencies, ours included, publish their pricing either way.
45. UI and UX design
UI (user interface) is how a screen looks and behaves: layout, buttons, color, type. UX (user experience) is whether the whole product makes sense to use: the flow, the friction, the moment someone gives up.
What it means for you: A beautiful interface on a confusing product is a common way to spend a design budget. Ask for the UX decisions before the UI mockups.
The five terms founders ask us to translate most
I have been on the other side of this conversation for over twenty years and more than a hundred shipped projects, and the same five words come up in almost every first month. In order of how often:
- "Technical debt." Founders hear it as an accusation. It is usually an inventory. The useful reply is "show me the list."
- "Staging." Half of new clients have been shown a staging environment and told the product was done.
- "API." Specifically, the difference between using someone else's and building your own, which is the difference between a week and a quarter.
- "Refactor." Engineers say it to mean "improve the structure without changing what it does." Founders hear "rewrite." Neither is quite right, and the cost sits in between.
- "Agent." New this year, and the one where the gap between what is being sold and what is being built is widest.
And the one term founders think they understand and usually do not: MVP. Almost everyone uses it to mean "version one." It means the smallest thing that tests the idea, and the difference between those two definitions is usually three months and most of a seed round.
Jargon that should make you ask a harder question
A glossary tells you what words mean. The more useful skill is knowing which words, said a certain way, deserve a follow-up. Six we would push on.
| What you hear | What it often means | What to ask |
|---|---|---|
| "We'll refactor that later." | A shortcut is being taken now and nobody has written down the cost. | Add it to the technical-debt list today, with an estimate. |
| "It's basically done." | It works on the developer's laptop. It has not been tested, deployed or shown to a user. | Is it on production? Can I use it right now? |
| "We don't need tests for this." | The feature will be expensive to change and nobody will know when it breaks. | What happens when we change it in six months? |
| "That's a quick change." | Nobody has looked at what the change touches. | What else does this affect? |
| "The AI handled it." | Code has been generated and merged without review. | Who read it? What are the tests? |
| "We'll need to rewrite it." | Sometimes true. More often the incoming team prefers its own code to reading yours. | What specifically cannot be kept, and why? |
How to work with a development team without learning to code
You do not need to become technical. You need to ask three questions well and often: what are we least sure about, what does this change touch, and where is that written down. Founders who ask those three do fine, in our experience, whether or not they can read the result.
If you are choosing a partner now, our guide, The Non-Technical Founder's Guide to Choosing the Right Software Development Partner, covers what to ask before you sign. And if you would rather talk it through, this is what working with us looks like.
Frequently Asked Questions
What is technical jargon? Technical jargon is the specialized vocabulary people in a particular field use to describe the things they build and the way they work. In software, it includes terms like API, deploy, staging and technical debt: precise to an engineer, opaque to everyone else.
What are some examples of technical jargon in software? API, backend, deploy, staging, sprint, technical debt, latency, CI/CD, and, since 2024, AI agent and context window. Each has one exact meaning to a developer, which is why they use it, and no obvious meaning to anyone outside the field.
What is the difference between tech jargon and tech slang? Jargon is precise vocabulary for a field: "latency" means one measurable thing. Slang is informal and social: "it's borked" means it is broken and tells you how the speaker feels about it. Jargon appears in documentation; slang appears in chat.
Why do developers use so much jargon? Mostly precision: one word replaces a paragraph and colleagues know exactly what is meant. Partly habit, because people who work in a vocabulary stop noticing it. And occasionally as a way to close a conversation rather than open one, which is worth noticing when it happens.
Do I need to learn to code to work with a development team? No. You need to be able to ask what the team is least sure about, what a change touches, and where decisions are written down. Founders who ask those questions consistently work well with engineers whether or not they can read the code, and the ability to evaluate work matters more than the ability to do it.
What is technical jargon propaganda? Jargon used to impress or to obscure rather than to explain: complex language deployed so that the listener stops asking questions. It is the reason "it's basically done" and "the AI handled it" belong on a list of phrases to push on.
Sources
- Nielsen Norman Group, "Technical Jargon"
- Ruby on Rails Guides
- Nielsen Norman Group on response-time limits (for the latency threshold)
Cite this page
Kaminski, Natalie. "Tech Jargon Decoded: 45 Technical Jargon Terms Every Non-Technical Founder Should Know."
JetRockets, 2026.
https://jetrockets.com/blog/tech-jargon-decoded-a-glossary-for-non-technical-founders
Natalie Kaminski is the CEO and co-founder of JetRockets, a women-owned, Rails-only software agency in New York, and a contributor at InformationWeek. She works with non-technical founders every week and is happy to talk to journalists and accelerator programs writing on the subject.