AI Coding Tools for Founders: How to Use Them Well

Explosive GrowthUpdated From 63 lessons by 5 founders and 6 other sources

11 sources ↓

The short answer

Use coding agents for bounded changes to a codebase you can review. Set the intended behavior and checks before implementation, then inspect the results and diff before merging. An engineering founder reports that 52% of his team’s merged pull requests last month were automated through a workflow that returns verification evidence to engineers. A coding-workflow creator reports pretty equivalent results when splitting planning, implementation and review across models; on complicated tasks, using the stronger model for everything cost more than twice as much.

What founders did

6 real examples, each linked to the moment in the source. Results are self-reported.

  1. X

    Darko Fabijan

    Reports that 52% of pull requests his team merged last month were automated through SuperPlane.

    Described selecting suitable backlog tickets, verifying agent work through CI and review feedback, and leaving shipping to engineers.

  2. YouTube

    Cole Medin

    Reports pretty equivalent results; the stronger model doing everything cost more than twice as much on complicated tasks.

    Compared a stronger model doing all coding work with using it for planning and review while another model implemented.

  3. X

    Arvid Kahl

    Reports far fewer corrections after delegating those edits.

    Delegated seemingly innocuous edits after encountering unintended effects from manual changes.

  4. X

    Hiten Shah

    Proposed comparing original requests with implemented behavior to surface unspecified user-facing choices without editing code.

  5. YouTube

    Zen van Riel

    Set up parallel coding-agent windows while limiting concurrent work to what he could track.

  6. YouTube

    The Gray Cat

    Reports that the browser checks often try overlooked edge cases and that the added checks increased confidence in what they ship.

    The creator describes reusable project checks, browser testing for web work, and a table recording check outcomes.

Your playbook

Use this when

Use this if you can review code in an existing project and have a feature or fix to implement.

You’ll leave with

Build a change worksheet containing scope, approved behavior, checks, observed results and a merge decision.

01

Bound the change before opening the agent

Suggested next steps
Do

Choose a feature or fix. Start the change worksheet with intended behavior, the relevant code, what must remain unchanged, and product or architecture choices you will make. Ask the agent to flag missing information before editing.

Make

Add a bounded change request and reserved decisions to the worksheet.

Check

If you cannot describe the behavior or resolve a consequential choice, clarify the request before allowing edits.

Why this step is in the plan

Arvid Kahl reports fewer corrections after delegating small edits that had previously caused unintended effects, including responsive-layout breakage. The AI Master creator contrasts a vague dark-mode request with a hypothetical prompt specifying existing CSS variables, toggle placement, persistence and files to leave alone.

02

Approve the plan and checks

Suggested next steps
Do

Request a read-only plan naming the approach, affected files and checks. Add expected behavior and a failure or edge case to the worksheet. Review the plan and checks before authorizing implementation.

Make

Add an approved approach and observable acceptance checks to the worksheet.

Check

If the checks could pass while the feature is wrong, revise them before implementation.

Why this step is in the plan

The Learn Code With Durgesh creator describes putting features, user roles and business requirements in a PRD while retaining personal judgment over its contents. In an AI LABS demo, feature requirements become eval files; the creator says a person should review those checks before the agent builds.

03

Implement a reviewable slice

Suggested next steps
Do

Create a Git checkpoint and give the agent the approved plan and relevant project instructions. Request only the bounded change. Record the resulting diff and unresolved decisions in the worksheet.

Make

Add a reviewable diff linked to the approved scope.

Check

If the diff expands into unapproved behavior or architecture, pause and reapprove the scope.

Why this step is in the plan

Cole Medin tested using a stronger model for planning and review while another implemented. He reports pretty equivalent results to using the stronger model throughout, with lower cost on complicated tasks. Zen van Riel describes parallel agent windows but says his own capacity limits how many work streams he can track.

04

Collect behavioral evidence

Suggested next steps
Do

Have the agent run the approved tests and relevant build checks. Inspect the behavior yourself in the appropriate interface. Add commands, observed results, failures and retests to the worksheet.

Make

Add a check record comparing expected and observed behavior.

Check

If a check fails or behavior differs, request a targeted fix and rerun the check before proceeding.

Why this step is in the plan

The Gray Cat creator describes browser checks that try edge cases, repeat failed checks after fixes, and produce a table of what was checked and what happened. AI LABS describes asking an agent to show a test result or screenshot rather than merely asserting that work is done.

05

Audit choices and decide whether to merge

Suggested next steps
Do

Review the diff and check record. Ask the agent to identify consequential choices absent from your original request without making edits. Record your decision on each choice, then merge, request a revision or stop.

Make

Add a merge decision and accepted or rejected choices to the worksheet.

Check

Do not merge if you cannot explain a consequential change, unexpected diff or failed check.

Why this step is in the plan

Hiten Shah proposes comparing the original requests with the implementation to expose unspecified user-facing choices, without letting the agent edit during that audit. Darko Fabijan reports that his team’s automated workflow returns evidence to engineers, who decide what ships.

Suggested workflow

Move a coding-agent change from request to merge

  1. Change state

    The request is vague

    Your next move

    Define behavior and boundaries before allowing edits

    Continue only if

    Continue when the intended behavior is clear and consequential choices have an owner.

  2. Change state

    The plan is ready

    Your next move

    Approve the approach and checks

    Continue only if

    Continue when an incorrect implementation would fail a proposed check.

  3. Change state

    The agent has changed code

    Your next move

    Run checks and inspect behavior and the diff

    Continue only if

    Request a revision if behavior differs from the worksheet or unrelated changes appear.

  4. Change state

    The change appears ready

    Your next move

    Make the merge decision yourself

    Continue only if

    Merge only when the evidence is visible and you understand the consequential choices.

Where to spend attention

Keep business rules, architecture and customer-facing choices under direct review; delegate bounded implementation.

Whether to add agents

Try parallel tasks or a model split only when each change remains independently testable and reviewable.

Make it yours

Change worksheet

A fill-in template for your own test

Change: [specific behavior] Affected area: [files or components] Keep unchanged: [behavior or files] Decisions for me: [product or architecture choices] Passing behavior: [observable result] Failure case: [input and expected result] Evidence: [test output, build result or interface check] Diff review: [unexpected changes] Decision: [merge, revise or stop]

When this works

  • Favor this workflow when you can specify the change, test it in the real project and review its diff before merging.

When to avoid

  • Do not delegate an unresolved product decision or critical code you cannot assess. Work through the design before requesting implementation.

Related questions

Should I run several coding agents at once?

Zen van Riel describes four parallel work streams as his personal capacity, not a target for other teams. Parallelize independent changes only if you can still review each one.

Do I need a more expensive coding-agent plan?

AICodeKing suggests starting with Claude Code’s Pro plan while gauging usage and considering an upgrade when its limits regularly interrupt useful work. Base a capacity upgrade on actual interruptions, not on an expectation of better code.

What belongs in a coding agent’s project instructions?

A guest in Y Combinator’s video describes keeping team engineering practices in Claude MD and skills files. Keep stable project conventions in those instructions and change-specific acceptance checks in the worksheet.

The reference library

Explore the originals.

The videos, articles and conversations behind the playbook.

11 of 11 sources · Results are self-reported.

  1. Source 1 · X

    Post by Darko Fabijan on X ↗

    Darko Fabijan · October 27, 2026

    Read the supporting excerpt
    …Checking its work. Chasing failing CI. SuperPlane takes on that coordination: - Scans your backlog and proactively picks up tickets suited to automation. - Runs a coding agent and verifies the result. Works through CI failures and review feedback. - Your team reviews the evidence and decides what ships. The setup, instructions, and standards are shared across the team. When someone improves the process, everyone…
  2. Source 2 · YouTube

    I REALLY Want Open Models to Win, But They Just Don't Cut It (Yet) ↗

    Cole Medin · November 5, 2026

    Read the supporting excerpt
    …with this test is I had a control group … workflows that I ran through Opus for … everything. It did all of the planning, … implementing, and reviewing. And then … for my other test, I had Opus do the … reviewing and the planning, but Kimmy … was the workhorse that did the … results were pretty equivalent between … two. But for more complicated tasks, it … was more than twice the cost using Opus … for literally…
  3. Source 3 · X

    Post by Arvid Kahl on X ↗

    Arvid Kahl · October 31, 2026

    Read the supporting excerpt
    I’m have realized that more than half of my “let me just do this manually” actions had some kind of consequence that I didn’t foresee during editing. Edit the padding here, but forget it over there. Or now it breaks the responsive layout. The moment I delegated even these seemingly innocuous changes, things ended up with much fewer corrections required.
  4. Source 4 · X

    Post by Hiten Shah on X ↗

    Hiten Shah · November 2, 2026

    Read the supporting excerpt
    …After it builds a feature, try this: "Compare my requests with the current implementation. Find up to three consequential user-facing choices I didn't specify. Show the evidence for each. If context is missing, say so. Don't change anything." Try it in Claude Code, Codex, Cursor, Lovable, or Replit. Use the same project so it can see your original requests. The agent may have decided whether someone can skip signup…
    Explore this lesson →
  5. Source 5 · YouTube

    The Agentic Engineer Workflow You Need In 2026 ↗

    Zen van Riel · May 20, 2026

    Read the supporting excerpt
    …launches four cloud code windows by just … typing t. And the reason why I create … four cloud code windows is because very … often there's an opportunity to … parallelize some work with AI code, but … not too much. I'm not going to pretend … like I'm running 50 agents at the same … time. My mental capacity is pretty much … at four parallel work streams. This is … just what I've discovered after working
  6. Source 6 · YouTube

    How I Use Claude Code and Codex on a Real Feature in late 2026 ↗

    The Gray Cat · November 3, 2026

    Read the supporting excerpt
    I've started turning those checks … into a skill for each project. … For a web app, … I use Claude in Chrome to run … the checks in the browser. … It often tries edge cases I … wouldn't think to check myself. … When something fails, … the agent fixes the problem … and repeats the check. … It also gives me a table showing … what it checked and what happened. … The web projects get … their own browser checks. … Since…
  7. Source 7 · YouTube

    1000+ Hours of Learning Claude Code in 25 Minutes (Beginner to Pro Tutorial) ↗

    AI Master · November 4, 2026

    Read the supporting excerpt
    …madeup example. Say you want dark mode … in a small web app. A prompt like add … dark mode is a complete request and … Claude will do something with it. It'll … probably go through every stylesheet, … pick its own approach, maybe add a … library, and decide by itself where the … toggle goes. Now compare that with this … prompt. Add a dark theme using the CSS … variables and add src/style/the.css. … No new…
    Explore this lesson →
  8. Source 8 · YouTube

    Create Production ready projects | Best Setup for Vide Coding | Vibe Coding Full Guide in Hindi ↗

    Learn Code With Durgesh · November 4, 2026

    Read the supporting excerpt
    …whatever your project is, I create a PRD … file. PRD file, it is basically a … Product Requirement Document, so here we … create whatever features we have, either … yourself with AI. I mention user roles, … business requirements, etc., here and … So, use AI to create the PRD as well, … but you have to use your own brain here
    Explore this lesson →
  9. Source 9 · YouTube

    Anthropic Just Released A New System For Using Claude Code ↗

    AI LABS · October 30, 2026

    Read the supporting excerpt
    …process. Before a change goes anywhere, … they ask Claude to run something that … proves it works and to show them the … result instead of just saying it's done. … That can be the app's tests or a … screenshot compared with the design. … In the demo app we were testing on, we … had a specs folder with all the features … in it. Each feature had its own folder … inside each folder, we had an RD.md file … that listed…
    Explore this lesson →
  10. Source 10 · YouTube

    Claude Code OS Setup: The $20 AI Coding OS ↗

    AICodeKing · November 5, 2026

    Read the supporting excerpt
    …a project on your computer. Pro is $20 a … annually. It includes Claude Code. And … this is where I would start if you're … learning, building side projects, or … figuring out how much you actually use … allowance. Personally, I'd move to max … 5x when the pro limits regularly … interrupt useful work.
    Explore this lesson →
  11. Source 11 · YouTube

    Conductor CEO Charlie Holtz Walks Us Through His AI Coding Setup ↗

    Y Combinator · June 4, 2026

    Read the supporting excerpt
    …time into our skills files and our like … Claude MD. If I like open it up like you … probably a few hundred lines. There's … like some interesting things in here … like it's we say engineering practices. … We're a startup. You're probably used to … writing enterprise code, but that's not … how we do things around here. We have … like a lot of things like that that … we've like put into our Claude MD and … our skills…

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