One workflow. Every problem type.
CodeAndSystem handles whatever is on your screen — algorithm challenges, stack traces, architecture diagrams, or code you have never seen before. Here is how developers use it.
Stop re-reading the same LeetCode editorial for the third time
The Problem
You are grinding through 150 problems before your interview window. For each one, you read the problem, attempt a solution, get stuck, then switch to the editorial or paste it into ChatGPT and try to describe what you are looking at. By the time you get an explanation, you have lost the mental thread of your approach. Multiply that by 5-10 problems a day.
The Solution
Capture the problem statement directly from LeetCode with one hotkey. AI vision reads the problem, constraints, and examples from the screenshot, then returns a working solution with time/space complexity, edge case analysis, and a step-by-step explanation. You stay on the problem page the entire time.
Workflow
- 1Open a problem on LeetCode, HackerRank, or any coding platform
- 2Press Ctrl+Alt+F to capture your screen with the problem visible
- 3Read the structured breakdown: approach, complexity, edge cases
- 4Copy the solution to your editor with one keystroke and verify
- Detects problem type (DP, graph, greedy, etc.) and recommends the right approach
- Includes time and space complexity analysis for every solution
- Works with any coding platform — just capture what is on your screen
Read the stack trace once. Fix it the first time.
The Problem
A production error fires at 2pm. You open the log, see a 40-line stack trace, and start the ritual: copy the error message, open ChatGPT, paste it in, try to describe the surrounding context, realize you forgot to include the relevant code, go back and copy that too. Three round-trips later, you have a suggestion that does not quite match your setup.
The Solution
Capture the entire error output — stack trace, surrounding code, terminal context — in one screenshot. AI vision reads all of it together, the way you would read it, and identifies the root cause with a targeted fix. No describing. No second round-trip for 'can you also look at this part.'
Workflow
- 1Error appears in your terminal, IDE, or log viewer
- 2Press your hotkey and select the region showing the error and surrounding context
- 3Get a root cause analysis and a specific code fix within seconds
- 4Apply the fix and move on
- Reads the full visual context — error message, code, and surrounding state together
- No need to manually isolate which part of the trace matters
- Works across terminal, IDE, browser dev tools, log dashboards
Get feedback on your architecture without scheduling a meeting
The Problem
You sketch out a system design on a whiteboard or in a diagramming tool. You want a second opinion — are there single points of failure? Will this scale? What am I missing? But getting feedback means scheduling a review with a senior engineer, or typing out a long description of your diagram for ChatGPT that inevitably loses the spatial relationships.
The Solution
Capture the diagram directly from your whiteboard, Excalidraw, Miro, or any tool. AI vision reads the visual layout — boxes, arrows, labels, relationships — and gives you feedback on scalability bottlenecks, missing components, and design trade-offs. The spatial context that text cannot capture is exactly what the vision model excels at.
Workflow
- 1Draw or open your architecture diagram in any tool
- 2Capture the diagram with one hotkey
- 3Get analysis: bottlenecks, missing components, scaling concerns, trade-offs
- 4Iterate on the design and capture again for follow-up feedback
- Reads hand-drawn whiteboard sketches, not just polished diagrams
- Identifies single points of failure, missing redundancy, and scaling limits
- Useful for interview prep (system design rounds) and real architecture work
Understand any code in the time it takes to screenshot it
The Problem
You are reviewing a PR with 400 lines changed across 8 files. Or you are onboarding and reading through a codebase you have never seen. You hit a function that does something non-obvious. You could read the git blame, trace the call chain, read the tests — or you could just ask someone. But 'someone' is in a different timezone and Slack messages get lost.
The Solution
Screenshot the code. The AI explains what it does, why it is structured that way, what the edge cases are, and whether the approach is sound. You get the equivalent of a senior engineer sitting next to you, available in 3-8 seconds.
Workflow
- 1Open the PR diff, code file, or shared screen you want to understand
- 2Capture the relevant code section with one hotkey
- 3Read the explanation: purpose, logic flow, edge cases, potential issues
- 4Leave an informed review comment or continue reading with full context
- Explains code in plain language with logic flow and edge case analysis
- Works on screenshots from GitHub, GitLab, VS Code, shared screens, or any source
- Identifies potential bugs, missing error handling, and style issues
Every problem starts on your screen. So should the solution.
Free trial — 5 solutions, 30 minutes, no card required. macOS, Windows, and Linux.