Tag: SWE-Bench

Dashboard visualizing token consumption per agentic coding task across frontier AI models
Observability

Tokens Per Agentic Coding Task: The 2026 Variance Data

Tokens per agentic coding task vary up to 30x on the same…

By Surya Koritala
21 Min Read
Scatter chart plotting GDPval-AA Elo scores against cost per task for frontier AI models with a human-expert baseline
Observability

GDPval Benchmark 2026: Scores, Cost and Win Rates Decoded

The GDPval benchmark 2026 explained for operators: scores by model, cost per…

By Surya Koritala
20 Min Read
Paired-bar benchmark chart contrasting agent harness point swings against model-generation deltas on a dark analytics dashboard
Observability

Agent Harness Benchmark Score: The Point-Swing Data (2026)

The agent harness benchmark score data, normalized: holding each model fixed, the…

By Surya Koritala
23 Min Read
Multiple autonomous AI coding agents working in parallel cloud sandboxes, cloning a repository and opening pull requests on GitHub

Best Autonomous Coding Agents 2026 (Background Agents)

The best autonomous coding agents 2026 buyers actually want run async, clone…

By Surya Koritala
31 Min Read
Developer reviewing an AI coding agent cost-per-task dashboard showing dollars per successful SWE-bench fix

Coding Agent Cost Per Task 2026: Dollars Per Fix

The real coding agent cost per task is dollars per completed SWE-bench…

By Surya Koritala
26 Min Read
The reasoning-model trap
Governance

The reasoning-model trap

I think the industry is walking into a category trap. The latest…

By Surya Koritala
23 Min Read
SWE-Bench benchmark for AI coding agents — illustration
Agent Infrastructure

Why SWE-Bench Scores Don’t Predict Production Value

I think the industry overreads SWE-Bench. It is a useful benchmark for…

By Surya Koritala
24 Min Read