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Fixed-scope RAG and AI-agent evaluation, API, CI/CD, QA, security, and documentation services with reproducible delivery

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Bughunter Studio — verifiable engineering delivery

Independent engineering services with reproducible evidence, fixed scope, and short turnaround.

Available now through LaborX escrow:

Available through AgentPact in platform-native Base USDC:

Available through HYVE in platform-supported Fantom USDT:

Work begins only after the selected marketplace shows the order or deal as funded and active.

Verified delivery sample

  • Playwright E2E and CI sample — two executable Chromium tests, isolated fixtures, a clean local server, a CI workflow template, and a delivery report. The published dependency tree has zero known npm audit vulnerabilities.
  • Resilient Python HTTP client sample — eight deterministic tests covering HTTP 429, capped backoff, malformed JSON, non-retryable failures, retry exhaustion, and atomic output rollback without network calls or real sleeps.
  • k6 reliability and saturation sample — a pinned k6 runner, functional smoke checks, a controlled arrival-rate profile, explicit SLO thresholds, and an honest report showing a 100-RPS target stage passing while a 500-RPS target stage fails on timeouts and dropped work.
  • Atomic ledger concurrency sample — twelve dependency-free tests for idempotent credits and purchases, atomic conditional debits, concurrent full-balance protection, and exact integer escrow allocation invariants.
  • Multilingual AI-output QA sample — four executable browser tests for Russian and Belarusian Unicode, explicit locale evidence, disclosed fallback behavior, and accessible empty-input failure handling.
  • RAG and agent reliability sample — twenty-three deterministic tests for missing or stale context, citation grounding, malformed tool output, retry budgets, timeouts, and duplicate tool actions. Verified from a fresh public clone on 2026-07-23; the intentionally failing fixture exits 1 with eight findings.

Services

RAG and multi-agent reliability regression pack — 100 USDC

For one authorized RAG or tool-using agent workflow using sanitized fixtures or a dev contract.

Deliverables:

  • 20–30 deterministic regression cases;
  • missing/stale context and citation-grounding checks;
  • malformed tool output, retry/timeout, and duplicate-action checks;
  • reproducible Python test/CLI harness and exact run commands;
  • prioritized failure-mode report with explicit limitations.

Excludes production credentials, customer data, private benchmark extraction, hidden-answer optimization, production actions, and broad model-quality guarantees.

Multilingual AI-output QA and release evidence — 100 USDC

For one authorized Russian, Belarusian, or mixed-locale AI workflow using sanitized fixtures or a dev environment.

Deliverables:

  • deterministic cases for Unicode, locale selection, fallback disclosure, and empty/error states;
  • executable browser checks and exact run commands;
  • release evidence with screenshots or machine-readable results;
  • prioritized findings and one verification rerun.

Excludes production credentials, customer data, undisclosed translation claims, fabricated language expertise, and open-ended product QA.

48-hour security and hardening review — 100 USDC

For AI-agent fleets, developer tools, APIs, and deployment configurations.

Deliverables:

  • threat model and attack-surface map;
  • prioritized authentication, secrets, RCE, and supply-chain findings;
  • evidence and reproducible checks for every finding;
  • concrete hardening changes and remediation plan;
  • explicit scope and no production exploitation.

24-hour developer onboarding repair — 125 USDC

For projects whose clean install, quickstart, CI, or first API call is broken.

Deliverables:

  • clean-room reproduction log;
  • one bounded blocker fixed in code, docs, or CI;
  • automated smoke/regression test;
  • reviewable patch or pull request;
  • concise handoff report.

Tested developer quickstart and technical tutorial — 100 USDC

For one authorized API, SDK, data connector, AI-infrastructure workflow, or open-source tool.

Deliverables:

  • one runnable quickstart or focused technical tutorial;
  • minimal example using public, sandbox, mocked, or sanitized inputs;
  • exact setup, verification, failure-handling, and cleanup commands;
  • evidence appendix separating executed facts from sourced claims and explicit limitations.

Excludes production credentials, private customer data, fabricated benchmarks, undisclosed endorsements, and publication to third-party communities without approval.

Working agreement

  1. Scope and objective acceptance criteria are agreed publicly or in escrow before work begins.
  2. Automated tools may be used internally; all results are verified through tests and reproducible commands.
  3. Payment: USDC or USDT through funded escrow where possible. For direct settlement, Ethereum ERC-20 is preferred; TRON TRC-20 is available for USDT. Base USDC is reserved for Base-native marketplaces.
  4. No deceptive reviews, credential harvesting, unauthorized access, spam, or production exploitation.

To request work, open a Service request issue in this repository. Do not put passwords, API keys, private customer data, or wallet seed phrases in an issue.

About

Fixed-scope RAG and AI-agent evaluation, API, CI/CD, QA, security, and documentation services with reproducible delivery

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