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What Can AI Coding Agents Do Today?

What Can AI Coding Agents Do Today?

Coding Agents

An honest inventory of what AI coding agents genuinely handle reliably today, what needs supervision, and what remains unreliable.

Coding agent capability has moved fast enough that a lot of the skepticism floating around is a year or two out of date. Here’s an honest current read.

Multi-file features with clear requirements, test generation for code with well-understood behavior, and migrating between frameworks following an established pattern are genuinely reliable now. Multi-agent setups, covered in more depth in our explainer on how they actually work, split work across specialized subagents for testing, docs, and review, running in parallel and finishing faster than one agent working sequentially.

They’re still weak on ambiguous requirements needing real judgment calls, architectural decisions with long-term tradeoffs, and legacy code with undocumented, load-bearing weirdness. An agent can confidently “fix” something that was actually a necessary workaround.

The honest measure isn’t a benchmark, it’s your team’s actual acceptance rate on generated pull requests over real weeks of use. See Terminal-Bench for current independent results, but test on your own codebase before trusting any number.

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DeepSeek vs ChatGPT, Compared

DeepSeek vs ChatGPT, Compared

DeepSeek

A comparison of DeepSeek and ChatGPT covering pricing, ecosystem, openness, and safety considerations to help decide which fits your use case.

DeepSeek and ChatGPT compete on genuinely different terms, price and openness versus ecosystem and polish, which makes them less directly comparable than a typical head-to-head suggests.

DeepSeek’s aggressive pricing and open-weight releases make it genuinely compelling for high-volume use and teams that want the self-hosting option. On real coding benchmarks it’s competitive with much more expensive alternatives.

ChatGPT has the broadest ecosystem of any assistant, the largest user base, and the most tested behavior across an enormous range of tasks. It’s the safer default if you want the most polished, widely supported product available.

For raw capability on general tasks, the gap is smaller than either company’s positioning suggests. If cost at scale or self-hosting genuinely matters, that alone can settle it in DeepSeek’s favor. Compare directly at deepseek.com and chatgpt.com against your own actual task before deciding.