Your team has been staring at it for days. I come in cold, read the repo fast, find the root cause — not the symptom — and push clean, documented fixes. One person. One methodology. Faster than a team.
I am a CPA and CISA — not a traditional engineer. I built a 102,194-line production Rust system in six weeks using a methodology I developed called ZipCoding. Precise specification. Precise execution. Documented output. That same capability is what I bring to your broken repo.
Most broken repos have the same failure modes: CI version conflicts, tests written for a format that no longer exists, a CLI flag that changed and nobody updated the workflow, a linter built against a different version than the module specifies. They compound. The person who built the system can't see them — they're too close.
I come in cold. I have no history with your repo. No assumptions. No familiarity. Just the CI logs, the workflow files, the test output — and a methodology that finds root causes fast.
This is not hourly work. You are not paying for my time. You are paying for a green pipeline — diagnosed precisely, fixed cleanly, documented fully. If that is not worth the price to you, this is not for you.
I fix CI pipelines. Failing test suites. Version conflicts. Build failures. Environment mismatches. Security gaps found by adversarial testing. I do not fix architecture. I do not redesign systems. I fix what is broken, precisely, and leave.
Not demos. Actual broken repos. Different stacks, different severity, same methodology.
Faramesh Core — a Go-based AI agent execution governor — had a fully broken build. Zero packages compiled. The team was active and shipping features, but the repo had accumulated four compounding issues that made it impossible for anyone to build from source.
Bug 1: go.mod pinned go 1.25.0 — a pre-release toolchain unavailable on CI runners. Every workflow cascaded red before a single line of code compiled.
Bug 2: internal/core/principal/idp/oidc.go was never committed. Five symbols referenced throughout the codebase — OIDCVerifier, OIDCConfig, NewOIDCVerifier() — existed nowhere in the repo. The entire idp package failed to compile. The missing file was written from scratch by inferring the full interface from call sites across the codebase.
Bug 3: Three uncommitted struct fields and methods referenced in daemon.go — local work that hadn't been pushed.
Bug 4: debug.ReadBuildInfo() returned empty under go test, causing the SBOM gate to fail with "components empty" and the reprobuild test to call t.Fatal() unnecessarily.
The maintainer confirmed all four bugs the same day on Slack: "We agree on that needing fixing." PR submitted. 45 packages, 0 failures.
The Microsoft Agent Governance Toolkit — a production-grade Python framework for AI agent governance with SLSA provenance and CodeQL scanning — had 3 test failures in test_stateless.py. All three: ModuleNotFoundError: No module named 'redis'.
Root cause: The dev extras group declared cryptography>=45.0.3,<46.0 while the iatp extras declared cryptography>=46.0.5,<47.0. Mutually exclusive version constraints. When pip resolved the dependency tree, redis silently failed to install — causing three test failures that looked like a missing module but were actually a version conflict one level up.
This is what precise diagnosis looks like on a well-maintained codebase. 2,858 tests were already passing. Fix the pin, align the constraint, run the suite. 2,861 passing. 0 failures. Merged same day by the project's Principal Engineer with the review: "Clean 1-line fix — aligns dev extras cryptography version with the main dependency pin. LGTM."
AgentField — a funded, production-grade AI agent control plane with W3C DID cryptographic identity — had a clean test suite with a hidden problem: datetime.utcnow() deprecated since Python 3.12, appearing 11 times across 5 files. Naive datetime objects with no timezone info, producing 36 deprecation warnings on every test run — and two call sites combining .isoformat() + "Z" on timezone-aware datetimes, generating invalid ISO strings like 2026-04-05T01:30:20+00:00Z.
The code review caught remaining call sites in client.py registration payloads and requested test coverage. A shared _utc_now_iso() helper was added, all 4 remaining timestamps updated, and 5 targeted tests added covering format correctness, Z suffix, valid ISO parse, and no double-offset.
Merged by the co-founder with the review: "Looks good now. Thanks for following up on the remaining client.py timestamp paths and adding coverage around the UTC helper."
No meetings. No retainers. No "discovery calls." Just a broken repo and a fixed one.
Screenshot of the red CI. A description of what's failing. That's all I need to scope the job and confirm I can fix it.
Fixed price, scoped fix. No open-ended "time and materials." You know exactly what you're paying before we start.
A GitHub token scoped to the specific repo. Read/write access to that repo only. I clone it, diagnose, fix, and push clean commits with documented explanations.
Every fix is a clean commit with a message explaining the root cause and what changed. You understand exactly what was wrong — not just that it's fixed.
No retainer. No ongoing relationship unless you want one. In and out. The repo is fixed. I'm gone.
Three tiers. One guarantee. No surprises.
If the scoped fix is not delivered within the promised timeframe — you pay nothing. Not a partial refund. Nothing. The scope is defined before I start, in writing, so there is no ambiguity about what "fixed" means.
Every fix is a clean git commit — not a rewrite. If a fix introduces a regression, that commit can be reverted instantly, restoring your repo to exactly where it was. You never lose ground. The worst outcome is the same broken pipeline you started with — and you pay nothing.
The people closest to a broken repo are the least likely to find the problem. They built it incrementally. They know what it's supposed to do. They can't see what it actually does.
I come in cold. I read the CI logs, the workflow files, the test output, the go.mod, the package.json — whatever the stack requires. I don't know the history. No assumptions. I just see what's broken.
Most broken pipelines are not hard problems. They are invisible ones. The version that drifted. The flag that changed. The test that was written for a format that no longer exists. Cold eyes find them in minutes. Familiar eyes miss them for weeks.
This is the same capability that built 102,194 lines of production Rust — a complete AI governance SDK with 2,150 passing tests — in six weeks. Precise diagnosis. Precise execution. Documented output. That's what I bring to your broken repo.
Tell us what's broken. I'll tell you if I can fix it, what it costs, and when it'll be done. No commitment required to have that conversation.
deen_saleh@rootzerovault.com