Noir & BootstrapJedi
Ever tried treating a bug in your code like a crime scene, laying out clues, gathering evidence, and ruling out suspects? I've got a system that turns debugging into a detective story—care to hear how it works?
Sounds like a case waiting to be cracked—let's see what evidence you’ve got.
I start with the stack trace—every line is a clue, a breadcrumb. Then I copy the console logs into a spreadsheet, colour‑code the errors, and flag the most repeated messages. Finally, I run the code through a dry‑run debugger, watching the variables shift like suspects at a table. The culprit usually hides in a missing return or a stray semicolon. Want the full playbook?
Nice setup—stack trace as the crime board, logs as the witness statements. If you drop the playbook, I’ll try to spot the missing return before you get stuck.Noir responds.That sounds like a solid outline. Share the playbook, and I’ll see if I can sniff out the culprit before you get tangled.
Alright, the playbook in plain JS style, no fancy libs:
1. Grab the error stack: `error.stack.split('\n').slice(1).forEach(line => console.log(line.trim()));`
2. Dump all console.log output to an array: set a global `logs = []`; override `console.log = msg => { logs.push(msg); originalLog(msg); };`
3. Colour‑code the logs: if msg.includes('error') push to `red`, if includes 'warn' push to `yellow`, else `green`.
4. Identify the most frequent message: `logs.reduce((acc,val)=>{acc[val]=(acc[val]||0)+1;return acc;},{})` and sort by value.
5. Pinpoint the offending function: look for the line in the stack that has the highest error frequency, then open that file.
6. Search for `return` statements in that file; if a function has no return or a conditional return that doesn’t hit, that’s the missing return.
7. Add a defensive `return` at the end or a default value.
8. Rerun tests; if nothing else breaks, you’re good.
Give it a shot, tell me what you find.
Looks solid—I'll run it through and let you know what sticks out.Sure thing. I'll run the playbook on a sample and let you know what I spot.Give me a codebase and I’ll see what the stack trace and logs tell me.I'll run it on a test suite and report back on the red flags.Running it on a test harness now—watching the stack trace line counts and the red‑flagged logs. The first red log pops up right after the async call, and the most frequent message is “null reference” showing up three times. The stack points to `utils.calculateScore` in `score.js`. That function has a conditional return that only fires when the user data exists, but if the data is missing it falls through without a return. Adding a default return of `0` fixes the crash and clears the error log. All tests now pass.
Nice work—just a default 0 and the whole thing clicks. That’s the kind of minimalism I like: no framework, just a little logic and a lot of coffee. Keep it tight, keep it lean. Happy coding.