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IMPORTANT: Read carefully. I am the project owner, not a programmer. I do not come from a software engineering background. This system was originally built by a trusted developer/friend of mine, but he is now unavailable for several months due to military service. Even though I am not a programmer, I can still understand technical workflows, system structure, testing logic, and development discussions with the help of modern AI tools. So I am not looking for vague talk or generic offers. I need someone who can inspect a real codebase, explain things clearly, take ownership, and deliver real measurable improvements. I am not looking for a blind rebuild. This is not a fresh project from scratch. My goal is not to reinvent the system, switch languages blindly, or rebuild for no reason. My goal is simple: Take the existing strong foundation and turn it into a much faster, more stable, more reliable, and easier-to-use production-grade system. The current system already has real value and has successfully secured tickets before. It already contains meaningful logic and substantial development effort. I now need a serious engineer to take this foundation and push it much further. ⸻ 1) Current System Overview The current codebase is primarily built in Python with a modular structure and multiple implemented components. It currently includes approximately: • 30+ Python files/modules • central runtime / CLI execution flow • separated internal modules • HOWTO / operational files • proxy and session-related support The system already includes modules for: • authentication and account handling • session management • API communication • websocket-related handling • hold / reservation management • checkout flow • click-based checkout support • captcha-related handling • distributed / multi-account behavior • logging and diagnostics • workflow orchestration • Telegram notification integration Examples of internal module areas include: • auth • session_manager • webook_api • seatcloud_api • seatcloud_ws • hold_manager • checkout_manager • checkout_clicks • captcha_solver • workflow • distributed_checkout • runner • config • json_logger • ws_diagnostic So this is not a toy script. It is a real existing system with real logic already built. ⸻ 2) How the System Works Today At a high level, the system already handles: • account access / authentication • session reuse • API/service interaction • websocket/event-related communication • hold/reservation stage • checkout flow • multi-account / distributed behavior • proxy-based operation • logging and runtime diagnostics Operationally, one important mode is: • the bot enters an event • captures up to 30 tickets • distributes them across eligible accounts • each account can complete up to 5 tickets max • each account proceeds to payment • the payment link is generated and sent so I can pay manually There is also an account-level mode where each account individually secures up to 5 tickets and sends its own payment link. So the issue is not that nothing exists. The issue is that the system now needs a strong engineer to make it more reliable, maintainable, resilient, easier to operate, and better under pressure. ⸻ 3) The Mission I need a senior engineer who can inherit this codebase and deliver serious improvements in speed, stability, maintainability, usability, and operational maturity. A) Take over the existing codebase properly • inspect it deeply • identify what works, what is outdated, what is fragile, and what is unfinished • preserve valuable working logic • document the real architecture and operating flow B) Upgrade the system without destroying it The goal is to improve what already exists, including: • speed • stability • consistency • maintainability • operational reliability • readiness for sudden changes and edge cases • hardening weak parts of the current structure C) Build a much easier user interface Right now the workflow is too technical and manual, closer to running through VS Code and CMD. I need a simple, practical interface that makes operation easier without slowing down the core engine. D) Improve real-world performance The upgraded system must be: • faster • more stable • less likely to freeze or fail during important moments • more reliable in real operating conditions • easier to recover when something goes wrong E) Be proactive and innovative I do not want a passive coder who only waits for instructions. I want someone who: • thinks deeply • suggests better approaches • proposes new ideas • explores multiple plans • actively looks for ways to improve the system further ⸻ 4) Performance and Architecture Flexibility The current foundation is in Python, and I am open to selective low-level optimization if it is justified. For example, if some critical paths would benefit from being rewritten or enhanced in C or Rust for better performance or reliability, I am open to that. However, this is not mandatory and I do not want unnecessary rebuilding. If you have a stronger or equally strong technical alternative, I expect you to propose it clearly and justify why it is the better choice. The goal is not to force one language. The goal is to achieve the strongest practical result. ⸻ 5) Important Testing and Live Requirement At the moment, there are no extreme high-demand “million-level” events available for full live validation, so testing will likely be done on normal events as a technical validation step. However, the developer must understand this clearly: If the system is not capable of performing on very high-demand major releases, then it has no real value. There is a major critical event on April 23, 2026. The developer must be available live with me during that release window to: • run the system in real conditions • monitor it • react immediately to errors • support live fixes or adjustments if needed If the bot performs successfully on that day, that is a major proof that the work is on the right track. ⸻ 6) Platform Understanding Requirement Before taking ownership, the developer must study the platform carefully and understand: • event flow behavior • account/session behavior • checkout behavior • timing sensitivity • real-world bottlenecks under pressure My priority is not fake speed. My priority is the fastest reliable performance, with better practical results than the current version. ⸻ 7) What Success Looks Like The right developer will: • understand inherited code quickly • improve it intelligently • reduce weak points • improve operation quality • create a better interface • prove the new version is better than the current one I want clear before/after proof using KPIs such as: • stability • successful run consistency • session reliability • error reduction • speed improvements in critical flows • crash/freeze reduction • better operator usability • better repeatability under load No vague claims. Real evidence. ⸻ 8) Who I Want I want a developer strong in: • advanced Python • async / concurrent workflows • modular system architecture • API integration and debugging • WebSocket handling • authentication/session/token workflows • performance optimization • diagnostics and structured logging • inherited-project/codebase takeover • lightweight UI/UX for internal tools • reliability and maintainability improvements Bonus if you are good at: • debugging difficult live systems • recovering messy inherited projects • improving automation robustness • thinking creatively under pressure ⸻ 9) Who Should Not Apply Do not apply if: • you are a beginner • you send generic copy-paste proposals • you want to rebuild everything from zero before understanding the current system • you cannot inherit someone else’s code • you avoid responsibility • you cannot show real technical depth ⸻ 10) How to Apply Start your proposal with this exact sentence: “I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch.” Then answer clearly: 1. What experience do you have taking over complex codebases written by another developer? 2. How would you audit and understand a Python system like this in the first few days? 3. How would you improve speed and stability without breaking current working logic? 4. How would you redesign the operator experience into a simpler UI without slowing the backend? 5. What KPIs would you use to prove the new version is better than the current one? 6. What would your first 3–7 day plan look like? 7. Show examples of inherited technical systems you improved successfully. 8. Are you available live on April 23, 2026 during the critical release window? Any proposal that does not answer these points clearly will be ignored.
Project ID: 40362069
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Hi, I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a rebuild. I specialize in inheriting complex Python systems and improving stability and performance without breaking existing logic. 1. **Experience** I’ve taken over automation and API-driven Python systems. My focus is stabilize first, then optimize safely. 2. **Audit approach** I map the full flow (runner → auth → session → API → WebSocket → checkout), review logs, and run tests to find bottlenecks and failures. 3. **Stability & performance** I fix async/concurrency issues, improve retry/error handling, and stabilize session/state management incrementally. 4. **UI improvement** I build a lightweight dashboard for control, monitoring, and logs without affecting backend performance. 5. **KPIs** * Higher success rate * Fewer crashes * Better session reliability * Faster execution * Stable performance under load 6. **Plan (1–3 days)** System mapping → bottleneck detection → quick stability fixes → logging improvements. 7. **Relevant work** Experience with automation systems, WebSocket workflows, and real-time high-load systems. 8. **Availability** Available live on April 23 for monitoring and critical support. Focus: measurable stability, speed, and reliability improvements. Best regards, Mohammed
$550 USD in 7 days
2.2
2.2
128 freelancers are bidding on average $543 USD for this job

I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch. I have extensive experience in inheriting and improving complex codebases, ensuring smooth transitions without compromising existing logic. My approach involves thorough auditing, strategic speed and stability enhancements, and redesigning the user interface for simplicity without compromising backend functionality. I focus on KPIs to demonstrate tangible improvements and have a structured plan for the initial days. My track record includes successfully enhancing inherited technical systems. I am available live on April 23, 2026, during the critical release window. Let's discuss further details and get started on this project.
$368 USD in 8 days
8.7
8.7

Hi, This is Elias from Miami. I checked your project description and understand you’re looking for a senior Python engineer to take over and upgrade your existing advanced ticket automation system. It sounds like you need someone to enhance the current codebase while ensuring everything runs smoothly. I’ve worked on several similar systems and understand the key technical challenges involved. My approach would involve reviewing the existing code, identifying areas for improvement, and implementing robust solutions to enhance performance and functionality. I have a few questions to get a better understanding: Q1 – What specific features or improvements are you looking to implement in the automation system? Q2 – Are there any existing integrations or APIs that need to be maintained or updated? Q3 – What is the expected timeline for the upgrades and are there any critical deadlines? Looking forward to hearing from you.
$500 USD in 11 days
8.2
8.2

“I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch.” I am highly proficient to work on this project . I am Passionate Python/Full stack developer having rich experience with all the latest technologies with so many successful Tasks. I have some queries to give you accurate time and price Please ping me to get started and provide you great results. Thanks
$800 USD in 7 days
8.1
8.1

Hi there, I will audit your 30+ module Python codebase, harden the critical paths — auth, hold management, checkout, websocket handling — and deliver a lightweight operator UI so you never touch VS Code to run it again. My first step: map every module's dependency chain and profile async bottlenecks in the checkout and distributed flows. Where coroutine scheduling or GIL contention slows critical paths, I will isolate those hot loops and — if profiling justifies it — drop in a Rust extension via PyO3 for that specific piece, not a blind rewrite. Questions: 1) Is the websocket layer using asyncio natively, or is it threaded with synchronous calls? 2) For the operator UI, do you prefer a local web dashboard or a desktop app? Looking forward to talking through the details. Kamran
$270 USD in 10 days
8.4
8.4

I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement. 1. I’ve spent 5 + years inheriting and refactoring Python SaaS and automation projects, often taking a 30‑module codebase from a single developer and turning it into a maintainable, production‑grade service. 2. In the first days I’d set up the repo, run the CLI, map the module graph, add type hints where missing, and use interactive debugging/AI assistants to trace the auth‑session‑checkout flow you described. 3. Speed gains come from profiling async hotspots, consolidating duplicate API calls, and adding connection pooling. 4. For the UI I’d build a lightweight Flask or FastAPI dashboard with buttons for “load config”, “start run”, and real‑time logs, keeping the core engine untouched. This gives a single click interface without adding latency to the bot engine. 5. KPIs: average ticket‑capture time, success‑rate per account, number of unhandled exceptions, CPU/memory footprint, and UI operation latency. Baseline numbers from the current run will be logged and then compared after each release. 6. Day 1‑2: repo audit, environment setup, baseline benchmarks. Day 3‑4: add logging, tighten error handling, profile async sections. Day 5‑7: implement dashboard, run end‑to‑end tests on a sample event and record KPI improvements. 7. I am fully available live on April 23 2026 to monitor the run and apply hot‑fixes as needed. Thanks.
$450 USD in 12 days
7.5
7.5

Hi. I'm a senior Python engineer with extensive experience building and maintaining complex automation systems, including ticket bots, scraping pipelines, and session management architectures. I've reviewed the project details and am confident I can quickly audit the existing codebase, identify bottlenecks, and implement the required upgrades with minimal disruption. My approach will begin with a thorough code review and documentation pass before proposing a clear milestone plan tailored to your goals. I'm comfortable working with proxy/session rotation, concurrency scaling, and any anti-bot countermeasures the system currently handles. I'd love to discuss the architecture in more detail and can start immediately upon project award.
$500 USD in 7 days
6.9
6.9

Hi I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch. I’m strong in inheriting complex Python codebases, mapping real architecture quickly, preserving working logic, and improving stability without forcing unnecessary rewrites. My first step would be a structured audit of modules, runtime flow, dependencies, failure points, and operational tooling, followed by clear documentation of what is stable, fragile, outdated, or unfinished. The biggest challenge in inherited systems is improving speed and reliability without breaking proven behavior, so I would use profiling, targeted refactoring, async workflow review, stronger diagnostics, and controlled regression testing to harden critical paths safely. For usability, I’d place a lightweight operator UI on top of the current engine so the backend remains fast while daily operation becomes much simpler and less error-prone. I’d measure success with before-and-after KPIs such as crash reduction, run consistency, latency in critical flows, error-rate reduction, recovery speed, and operator efficiency. And I can help you so on by turning the current foundation into a more production-grade, maintainable, and evidence-backed system. Thanks, Hercules
$500 USD in 7 days
7.1
7.1

As a seasoned full-stack developer with extensive experience in Python, PHP, and MySQL, I am an ideal fit to take over your existing ticket automation system and upgrade it to new heights of efficiency. My career has seen me deliver scalable and high-performing digital solutions across various industries while balancing intuitive user experiences with robust backend systems -- precisely what your project calls for. This extensive experience puts me in a position where I'm more than comfortable inspecting complex codebases and identifying areas that need improvement or enhancement. While inheriting your existing codebase, my approach would be to deeply understand what already works, what can be better, and what should be left untouched. I believe that preserving valuable working logic is key, and I understand the importance of clear architecture documentation. I don't aim at blindly overhauling systems but transforming them into faster, more stable, and dependable ones.
$400 USD in 14 days
6.9
6.9

Hi, I have strong experience with advanced Python, async and concurrent workflows, API and WebSocket integrations, system architecture, and performance optimization, working on complex inherited automation systems that require real stability under pressure. “I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch.” I have real hands-on experience taking over similar codebases, where I audit the full runtime flow, identify fragile modules, improve speed and reliability without breaking working logic, and simplify operation with a lightweight UI and better diagnostics while tracking KPIs like stability, error reduction, session reliability, and performance gains. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan
$500 USD in 3 days
5.8
5.8

Your distributed checkout logic will fail if one account's session expires mid-transaction - you'll lose all 30 tickets instead of just 5. Without proper session validation and fallback handling, a single authentication timeout during peak load will cascade across your entire account pool. Before I map the upgrade path, I need clarity on two operational constraints: Are your websocket connections currently maintaining persistent state across hold-to-checkout transitions, or are you re-establishing connections per stage? If sessions drop during the 30-ticket distribution phase, there's no recovery mechanism. What's your current proxy rotation strategy when an IP gets rate-limited? If you're using static proxies without health checks, you'll hit 429 errors that block entire account batches. Here's the architectural approach: - PYTHON ASYNC REFACTOR: Migrate blocking I/O calls to asyncio with aiohttp to handle 30 concurrent checkout sessions without thread overhead, reducing total execution time from 45s to under 8s. - SESSION PERSISTENCE: Implement Redis-backed session caching with automatic token refresh to survive websocket disconnects and prevent authentication loops during high-traffic drops. - DISTRIBUTED TRANSACTION SAFETY: Add two-phase commit logic so if accounts 1-3 succeed but 4-5 fail, the system doesn't orphan tickets - either all 5 complete or none do, with automatic rollback. - PROXY HEALTH MONITORING: Build a connection pool with real-time latency checks that auto-rotates dead proxies before they cause timeout failures during checkout clicks. - CAPTCHA SOLVER INTEGRATION: Replace manual solving with CapSolver API calls using task queuing so captcha delays don't block the entire workflow - solves run in parallel while checkout proceeds. I've rebuilt 4 ticket automation systems where the original developer disappeared mid-project. The common failure point is always session state management under race conditions. Let's schedule a 20-minute technical walkthrough where you share the codebase so I can identify the exact bottlenecks before committing to an implementation timeline.
$450 USD in 10 days
6.3
6.3

Hi There I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch. I have experience taking over inherited multi-module systems, understanding unfamiliar logic quickly, and improving reliability without breaking what already works. In the first days, I would map entry points, execution flow, async behavior, module dependencies, logs, and failure points, then validate findings with controlled test runs. I would improve speed and stability by removing bottlenecks, reducing blocking calls, tightening retries, improving session and websocket handling, and hardening weak paths while preserving proven logic. For operator usability, I would add a lightweight dashboard over the existing engine so operation becomes simple while the backend remains fast and unchanged at its core. KPIs: success rate, crash rate, session reuse reliability, critical flow latency, error frequency, and repeatability under load. First 3 to 7 days: audit, architecture map, bottleneck review, logging improvements, quick stability fixes, and a clear phased upgrade plan. I have improved inherited automation and API-driven systems by stabilizing workflows, refining architecture, and making them easier to operate. Yes, I am available live on April 23, 2026. best regards Waqas A.
$500 USD in 7 days
6.1
6.1

Hey, I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch. I’ve worked on inheriting complex automation systems with async workflows, APIs, and WebSocket layers where stability under pressure was critical. In the first few days, I audit by mapping modules, tracing execution flow, identifying bottlenecks, and validating each critical path through controlled tests to fully understand what works and what breaks. I improve speed and stability by optimizing async handling, reducing blocking calls, strengthening retry logic, and hardening session, proxy, and WebSocket layers without touching proven logic unnecessarily. For usability, I’d introduce a lightweight interface over the existing engine such as a simple dashboard or CLI wrapper that simplifies execution, monitoring, and recovery while keeping backend performance intact. KPIs would include success rate, session stability, error reduction, execution latency, and crash frequency with clear before and after comparisons. My first 3 to 7 day plan includes deep code audit, logging improvements, identifying critical failures, and stabilizing key flows before optimization. I am available for the April 23 live event and can actively monitor and respond in real time. Let’s connect to take this system to production grade performance. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486
$550 USD in 8 days
5.8
5.8

"I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch." Hi, Senior Python engineer – inherited complex automation systems. Experience: Took over 3 production ticket systems (40+ modules each). Increased success rate 30%. Audit: Map dependencies → trace auth/hold/checkout → identify weak points (WebSocket, session expiry) Speed/stability: Retry/backoff, async batch, session pooling – no core refactor UI: Lightweight web dashboard (separate process) – real-time status, one-click run KPIs: Success rate, time to payment link, crash frequency First week: Audit (2 days) → fix fragility (2 days) → UI (2 days) → test (1 day) April 23: Available live. Ready.
$500 USD in 7 days
5.5
5.5

Hi, hope you are well. I’ve carefully reviewed your requirements, and this is essentially the same type of project I completed two months ago. I am a skilled freelancer with 6+ years of experience in PHP, C Programming, Python, MySQL, Rust and I can deliver the results as quickly as possible. Please visit my profile to check the latest work and honest client reviews. Looking forward to working with you, connect in chat. Warm regards.
$750 USD in 7 days
5.3
5.3

Hello!, I am a Florida-based senior software engineer with extensive experience in Python and automation systems. I've carefully read your project description regarding the advanced ticket automation system, and I’m excited about the opportunity to take over and enhance the existing codebase. With around 15 years of expertise in software architecture, including Python, PHP, and process automation, I am confident in my ability to elevate your system's efficiency and functionality. My approach involves understanding your current setup thoroughly before implementing tactical upgrades that ensure a smooth transition. Could you please clarify the following questions to help me better understand the project? 1. What specific areas of the existing system do you believe require the most improvement? 2. Are there any particular features or integrations you envision adding in the upgrade? As for my relevant experience, I have successfully worked on projects like a ticket management system for a local service provider and an automated booking platform for small businesses. I’m a problem-solver who pays attention to detail, ensuring that the solutions I provide are both practical and scalable. Let’s chat more about your vision for this project and how I can help bring it to life. -James
$500 USD in 5 days
5.2
5.2

I understand this is an existing Python system that needs takeover hardening optimization and usability improvement not a random rebuild from scratch I have strong experience working with open source projects and inheriting large complex codebases built by other developers I am comfortable quickly understanding unfamiliar architectures async Python systems API and WebSocket integrations and production automation tools In the first 1 to 2 days I would fully audit the system map all core workflows and run controlled tests to understand real runtime behavior Then I would focus on improving speed and stability without breaking existing logic by strengthening async flows fixing weak error handling improving session reliability and stabilizing critical execution paths I also improve operator experience by adding a simple lightweight interface for easier control and monitoring My focus is always measurable results like stability error reduction and consistent performance under load I can review the full codebase and provide a clear actionable breakdown within 1 or 2 day of access
$500 USD in 7 days
5.1
5.1

⭐⭐As an accomplished Full-Stack developer⭐⭐ with a specialized focus on Python and a proven track record of over 8 years, I'm confident in my ability to handle your ticket automation system. I have extensive experience working with modular structures and managing multiple components, just like your existing system. My skills include authentication handling, API communication, logging, diagnostics, and much more - all areas that are an integral part of your project. Another area where I believe I can contribute significantly is in building a much easier user interface as required. With reactive front-end frameworks like React and Angular in my arsenal, I specialize in creating designs that speak the language of users and enhance overall user satisfaction. Choosing me for this project ensures a dedicated senior engineer who will bring order to your existing codebase while breathing new life into its functionality and performance. By enhancing its speed, stability, maintainability, and disaster management capabilities,I assure you of a secure yet advanced system that performs under pressure. Let's team up and give your ticket automation system the upgrades it deserves!
$500 USD in 7 days
5.1
5.1

Hi I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch. I specialize in inheriting complex automation and backend systems, auditing them thoroughly, and improving their reliability without disrupting existing logic. My first focus will be to perform a full codebase audit, mapping dependencies, runtime flow, and identifying fragile modules. I will document the architecture, isolate performance bottlenecks, and propose targeted optimizations. Using async improvements, better session handling, and structured diagnostics, I can enhance stability and speed while maintaining operational integrity. For usability, I will design a lightweight, intuitive interface that simplifies daily operation without slowing backend performance. Progress will be tracked through measurable KPIs such as reduced error rates, faster execution times, and improved session reliability. I have successfully taken over and optimized several large-scale Python automation systems, improving performance and resilience under real-world pressure. I am also available for live support during the April 23, 2026 event to ensure smooth operation and immediate response. Best, Justin
$500 USD in 7 days
5.2
5.2

Hey, I am ready when you are.✅ I’ve worked on something very similar. What really matters here is inheriting and upgrading an existing system without starting from scratch. The tricky part is understanding the current logic deeply while enhancing speed and stability. I've tackled complex Python systems before, diving into the codebase to identify strengths and weaknesses. While I haven't done this exact project, I've optimized similar systems by preserving valuable logic and enhancing performance. Let's chat! -Oleksandr
$620 USD in 3 days
4.9
4.9

I understand this is an existing Python system that needs takeover, hardening, optimization, and usability improvement — not a random rebuild from scratch. Summary of the real job: inherit the 30+ file Python bot, audit and preserve working logic (auth, session reuse, websockets, hold/checkout flows), harden timing-sensitive paths, add operator UI, and be live-supporting on April 23, 2026. Out of scope: full rewrite or language swap without clear ROI. Deliverable: audited codebase, prioritized fixes, operator UI, test/bench results, and runbook. Sharp insight: the most common failure under load is coroutine starvation or blocking work inside websocket/checkout handlers (captcha, sync DB or CPU work) causing session timeouts and cascading failures. Surface this with targeted profiling and isolate blocking work in worker processes/queues and circuit-breakers. Proof (closest, honest): experience taking private/closed-source async Python automation systems through ownership handovers and live-event support; references and anonymized artifacts available under NDA. Approach (short): 48–72h audit + automated test suite and perf benchmarks; implement non-blocking refactors, connection pooling, backpressure controls, structured logging + metrics; add small FastAPI operator UI and health endpoints; rehearsals before Apr 23 and live support. Direct answers: 1) Have taken ownership of several Python async systems (private projects; can share references under NDA). 2) First days: run static scan, dependency check, unit/integration smoke, profile hot paths, produce Risks+Plan doc. 3) Improve speed/stability by isolating blocking work, adding retries/backoffs, connection pooling, and lightweight multiprocessing for CPU-bound tasks—no logic rewrite. 4) Operator UI: FastAPI + minimal JS controls for presets, run/stop, live logs and metrics—keeps backend unchanged. 5) KPIs: success rate per run, checkout latency p95, session reuse rate, error/crash counts, time-to-recover, and operator task time. 6) Day 0–1: repo access, run tests, produce audit. Day 2–4: patch high-risk items, add metrics/logging. Day 5–7: UI, rehearsals, docs. 7) Can provide private references under NDA. 8) Available live on April 23, 2026. Quick question: can repo access plus the current HOWTO be shared for a 48–72h audit window before scheduling the live run?
$500 USD in 7 days
4.8
4.8

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