VendorCode Scorecard
A pre-hire evaluation toolkit for non-technical procurement leads and operations managers comparing AI-coding vendors and freelance dev shops, with standardized real-world task benchmarks and a plain-language scorecard.
Operations and procurement leads at mid-market companies evaluating AI-coding vendors
- Standardized task suite that vendors run their agents against, scored on correctness, security, and maintainability
- Plain-English scorecard with a 'could a junior ops hire read this?' readability check
- Historical score history per vendor so you see regression after model updates
- RFP-ready summary export with weighted scoring against your must-haves
The paper argues that fragmented, synthetic benchmarks distort real capability — exactly the complaint procurement leads have when picking between AI coding vendors who each post cherry-picked numbers.
Multiple procurement guides (SkopX, CorporateAI Consultants, OpenAIToolsHub) and a full AI-coding-tool procurement framework article confirm the exact pain: benchmark inflation of 10-25 points between marketed and real scores, with explicit recommendation that buyers run private evals before contracting.The AI Coding Tool Procurement Framework: How to Buy When Benchmark Trust Is Broken ↗The SWE-bench Scandal — AI's Most Trusted Coding Benchmark Is Broken ↗
No packaged SaaS scorecard targeting non-technical buyers exists; Gartner Magic Quadrant (14 vendors, $30k+ subscription) and scattered blog frameworks dominate, leaving room for a focused mid-market product but with credible analyst incumbents.The 2025 Gartner Magic Quadrant for AI Code Assistants ↗AI Coding Tools Pricing — The Definitive 2026 Comparison ↗
Willingness to pay exists at enterprise tier (Gartner pricing, 6-8 week procurement cycles, 15-40% overspend risk cited), but the target ICP of mid-market non-technical procurement leads is weak — the fetched framework explicitly states engineering must own the eval and PoC scoring while procurement handles commercial terms, splitting the buyer.The AI Coding Tool Procurement Framework: How to Buy When Benchmark Trust Is Broken ↗AI Tools Enterprise Procurement Guide 2026 ↗
Tailwind is real: SWE-bench scandal in 2026, silent model swaps, 25+ AI coding tools in market, and contract clauses for quarterly re-baseline becoming standard — the need for independent evaluation will intensify as the vendor count grows and consolidation increases lock-in risk.The SWE-bench Scandal — AI's Most Trusted Coding Benchmark Is Broken ↗AI Coding Assistants 2026 Deep-Dive — 25+ tools compared ↗
Scorecard wrapper is trivial but the defensible asset — standardized real-world task benchmarks with credible methodology — is hard; SWE-bench took serious research effort and the same source notes that any reputable eval needs git history restricted, network blocked, post-cutoff repos, and re-baseline cadence, demanding engineering credibility the non-technical buyer ICP lacks internally to validate.The AI Coding Tool Procurement Framework: How to Buy When Benchmark Trust Is Broken ↗