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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsTo compare AI coding agents fairly, give them the same app task, starting repository, tools, runtime, resource limits, and time or usage budget. Grade each result against independent behavioral tests and a published rubric, repeat runs where possible, and report reliability, elapsed time, and cost alongside quality. The result describes the tested agent configuration in that environment—not which agent is universally best.
Decide what the comparison is meant to measure
First choose whether you are comparing agent systems or complete products. Those answer different questions, so label the comparison accordingly.
| Comparison | What to hold constant | What the result can show |
|---|---|---|
| Agent comparison | Use the same model and model version where possible; also hold reasoning settings, tools, context, and budget constant. | How the agent scaffolding and workflow perform under the selected conditions. |
| Whole-product comparison | Give each product its normal model, tools, and default settings, while matching the task and execution budget as closely as possible. | How the products perform as users encounter them; model and agent effects are combined. |
Do not use a whole-product comparison to claim that one underlying model is better. SWE-bench Verified documents a controlled model comparison in a shared mini-SWE-agent bash-only setup, and notes that setup versions can affect comparability. Name the harness and version you used, not just the model or product name.
Specify one app task precisely
Choose a bounded task that a developer could reproduce from a clean checkout. Describe the app’s purpose, required screens, user flows, data behavior, and acceptance criteria. State what counts as complete and what should happen in error cases that matter to the task.
#1 Best Overall
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Freeze the starting point
- Identify the baseline repository, commit or starter files, framework, and dependency versions.
- Specify the operating system or container, dependency setup, and exact command to build and run the app.
- Preserve the exact prompt and initial repository state for every trial.
- Decide in advance whether agents may ask questions. If they may, give each the same answers; clarification can be part of the task rather than an accidental advantage.
A prompt such as “make a great app” leaves too much to interpretation. One agent might add extra features while another focuses on the core flow, making both the outcome and the grading subjective. Interactive project-building evaluation research treats clarification as part of the evaluation and grounds simulated user answers in repository behavior; that is a useful precedent when designing tasks that naturally need clarification.
Keep execution conditions equivalent
Give each agent the same machine or container, repository state, dependencies, permissions, network access, tool availability, CPU and memory allocation, and time or token ceiling. Include the environment in the test: agentic coding often involves installing dependencies, running tests, and iterating, so tool access and runtime conditions can affect the result.
Record retries, human interventions, and any product-specific setup. If a product requires a different environment, document that difference and treat it as part of the product being evaluated rather than silently changing the rules. As Anthropic puts it in its engineering article Quantifying infrastructure noise in agentic coding evals, “Two agents with different resource budgets and time limits aren’t taking the same test.”
Rank #2
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- 90W Pass-Through Charging: Achieve optimal charging with 90W pass-through power to your laptop, supported by a total input of 100W, with the hub reserving 10W for operational efficiency. (Note: Wall charger not included.)
- Quick Data Transfers: Accelerate your productivity with rapid data transfers using a high-speed 5Gbps USB 3.0 port and two 480Mbps USB 2.0 ports.
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- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
Resource differences can change scores, and infrastructure errors can be mistaken for agent failures. In Anthropic’s 2026 Terminal-Bench 2.0 experiment, the team held the Claude model, harness, and task set constant while changing resource configurations. Success rates rose with additional headroom; infrastructure error rates were 5.8% under strict enforcement and 0.5% in the uncapped configuration they tested. Those are results from that experiment, not a universal adjustment factor for other benchmarks.
Grade the app with independent checks
Translate the acceptance criteria into automated checks before running any agent. Test the app as a user would: build and launch it in the specified environment, exercise the primary flows, check persistence and required error cases, and verify that existing features still work. Keep functional task success separate from subjective review: a visually polished interface should not make broken behavior pass, and passing automated checks should not erase visible failures.
Audit the tests as well as the app
A score is only as trustworthy as the task and evaluator behind it. OpenAI’s 2026 SWE-Bench Pro audit describes prompt and test problems including overly strict tests, underspecified prompts, low-coverage tests, and misleading prompts. In its human annotation campaign, 249 of 731 public tasks (34.1%) were identified as broken; the article estimated roughly 30% of tasks were broken. Its automated pipeline separately flagged 200 tasks (27.4%). These figures describe OpenAI’s audit of the public split, not the general rate of defects in coding benchmarks.
Rank #3
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- Flawless 4K@60Hz Video with HDMI: Delivers exceptional clarity and smoothness with its 4K@60Hz HDMI port, making it ideal for high-definition presentations and entertainment. (Note: Only the HDMI port supports video projection; the USB-C port is for data transfer only.)
- Double Up on Efficiency: The two USB-A 3.0 ports and a USB-C port support a fast 5Gbps data rate, significantly boosting your transfer speeds and improving productivity.
- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
Before scoring, check that every test reflects an explicit requirement, that a correct implementation can pass it, and that the suite covers the behaviors you intend to compare. Hidden tests do not automatically make an evaluation sound: unclear tasks, misleading checks, and low coverage can still distort the result.
Use a rubric that fits the app
Choose dimensions and scoring rules before seeing results. A practical rubric can keep distinct concerns visible:
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- Required behavior: acceptance tests passed and the app’s primary flows work.
- Build and launch: whether the app runs in the specified environment.
- Interface: clarity and usability against stated criteria.
- Engineering: structure and maintainability, judged against a consistent standard.
- Security and data handling, when those concerns are within the task’s scope.
- Error states: whether relevant failures are handled clearly and safely.
- Human correction time: time needed to bring the result to the acceptance criteria after the agent stops.
Publish what each score means, how it is weighted, and examples of passing and failing work. SWE-WebDevBench separates creation from modification requests and assesses product, engineering, and operations considerations. ICAE-Bench reports functional correctness alongside semantic/API similarity, structural fidelity, design quality, and interaction quality. These frameworks offer design precedents; their metrics need not fit every app.
Rank #4
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Repeat trials and report the spread
When agents use sampling or autonomous loops, a single run may be a poor representation of typical performance. Run each configuration multiple times if resources allow, and keep a record for every run rather than retaining only the best result.
| Report for each configuration | What to include |
|---|---|
| Identity | Product and agent version, model and version, settings, tools, harness version, and relevant environment details. |
| Trial outcomes | Number of runs, successes, failures, incomplete trials, timeouts, and infrastructure failures. |
| Efficiency | Elapsed time, usage, and cost for individual runs, plus a distribution or aggregate that does not hide the spread. |
| Evidence | Per-run outputs, logs, test results, and any human interventions or retries. |
Keep agent failures separate from infrastructure failures and flawed evaluator cases; do not silently drop unsuccessful trials. A public coding-agent index illustrates the value of reporting benchmark scores alongside cost, token use, and execution time, and treats agent variants with behavior-changing settings as separate rows.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Interpret results within their limits
A single app task can show how tested configurations handled that particular task in that environment. It cannot establish which coding agent is best for every developer or project. For broader conclusions, test across different task types and app domains, and distinguish creating an app from modifying an existing one. A held-out set can also reduce the risk that familiarity with public tasks influences performance.
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- 5-in-1 Connectivity: Equipped with a 4K HDMI port, a 5 Gbps USB-C data port, two 5 Gbps USB-A ports, and a USB C 100W PD-IN port. Note: The USB C 100W PD-IN port supports only charging and does not support data transfer devices such as headphones or speakers.
- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
- HD Display: Connect to the HDMI port to stream or mirror content to an external monitor in resolutions of up to 4K@30Hz. Note: The USB-C ports do not support video output.
- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
Benchmark design choices affect what a score means. SWE-bench currently describes Verified as a human-validated subset of 500 instances. SWE-Bench Mobile documents 50 tasks and 449 human-verified test cases, but its described diff-based checks inspect patch text without compiling or running the iOS app. That distinction matters: a structural patch check does not establish that a built app works in use.
Similarly, the Artificial Analysis Coding Agent Index v1.5 methodology, current in September 2026, combines 303 tasks across three components: 113 DeepSWE v1.1 tasks, 66 Terminal-Bench 4.0 tasks, and 124 SWE-Atlas-QnA tasks. Its index is an equal-weight average of those components. Such an aggregate can summarize performance across its chosen mix, but readers still need the component tasks, harness, and scoring rules to understand what it measures. A few percentage points should not be treated as decisive without checking resource enforcement, infrastructure noise, test validity, and version comparability.
Quick Recap
A compact run checklist
- Write a narrow task with explicit user flows and acceptance criteria.
- Freeze the repository, dependencies, runtime, prompt, and clarification policy.
- Choose agent-only or whole-product comparison and state which one it is.
- Match resources, tools, permissions, and time or usage budget; document unavoidable differences.
- Prepare and audit behavior checks and a quality rubric before running agents.
- Run repeated trials where possible; preserve logs and artifacts for every attempt.
- Publish configuration, per-run outcomes, reliability, elapsed time, usage, cost, and evaluation limitations.
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