Development Skill
Angular Migration
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and…
$15
Debugging Strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to…
A systematic debugging discipline that turns frustrating guesswork into a repeatable, scientific process. It applies hypothesis-driven investigation, binary-search regression hunting, log correlation, and minimal reproduction across any stack, with concrete tooling for JavaScript, Python, and Go so you find root causes faster and fix them, not just the symptoms.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category Development
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
The skill replaces guess-and-poke debugging with a scientific four-phase loop. The exact sequence it runs on a bug:
- Reproduce: establishes whether the bug fires always, sometimes or randomly, then strips the case down to a minimal reproduction by removing props, child components and side effects one at a time until the remaining 15 lines ARE the root cause area.
- Gather evidence: full stack trace, error codes, environment versions, recent git history and scope (all users or one, production only or also dev). A diff table of working vs broken environments is built before any theory forms.
- Form one hypothesis and test it with a single change. Changing two things at once is an invalid experiment. For regressions, git bisect halves the commit range: 1024 commits found in 10 steps, automatable with git bisect run.
- Verify with the right tool, not just console.log: real debuggers (breakpoint, pdb, Delve), strategic logging with request-ID correlation across layers, and profilers before any performance change.
- Run Five Whys on the confirmed cause: 500 error, why? DB timeout, why? Full table scan, why? Missing index, why? Migration skipped, why? CI lacks the migration step. The fix lands at level five, not level one.
- Test the fix against the original reproduction, document the finding, and confirm the symptom is gone rather than just that the page loads.
One power source. 6 lines out.
debugging-strategies · core
core active · 6 lines
- ✓ tracking down an elusive
Tracking down an elusive or intermittent bug
- ✓ finding which commit int…
Finding which commit introduced a regression with binary search
- ✓ investigating a production
Investigating a production issue from error tracking and logs
- ✓ profiling a performance
Profiling a performance bottleneck or hunting a memory leak
- ✓ correlating logs across
Correlating logs across a distributed system with a shared request ID
- ✓ reducing a bug to its mi…
Reducing a bug to its minimal reproduction to isolate the cause
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
ai writing tool: subscription
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Your forge
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Find root causes faster by replacing intuition with a hypothesis-experiment loop
license: perpetual -
Pinpoint the exact regression commit in logarithmic time instead of a linear scan
license: perpetual -
Fix the real cause instead of patching symptoms, using five-whys analysis
license: perpetual -
Trace a bug's full journey across services with correlated logs and request IDs
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
A four-phase process: reproduce, gather information, form hypothesis, test and verify
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
Developers of any stack who need to investigate bugs, regressions, and performance issues methodically.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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The concrete tooling is for JavaScript, Python, and Go. Is the method useless in another language?
The discipline, hypothesis-driven investigation, binary-search regression hunting, and minimal reproduction, is stack-agnostic and transfers to any language. What is language-specific is the example tooling, so in another stack you reuse the method and swap in your own debugger and logs.
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Binary-search regression hunting sounds clean, but doesn't it need a reliable reproduction first?
Yes, a repeatable check is what makes a binary search across commits work, which is why minimal reproduction is part of the same discipline. For an intermittent bug you first stabilize a reproduction, then the search narrows the cause.
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Does following this guarantee I find the bug?
It structures the hunt so you stop guessing and converge methodically, but it does not promise a fix on a truly non-deterministic problem. It uses your existing debugger and observability rather than replacing them, so the result still depends on the evidence you can gather.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.