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Automatic code reviews with OpenAI Codex
OpenAI· 2025-11-04 17:54
Code review of two comment mark. >> Hey everyone, I'm Roma >> and I'm Maya. >> Codex needs to do two things really well to be an effective coding teammate.First, it needs to work with all your tools and second, it also needs to plug into all of your team workflows. Code review is one of the most important workflows for any engineering team and we want to help there as well. With GPT5 and now GP5 codeex, we train these models specifically to find bugs and investigate some issues.Maya, why don't you tell us m ...
GPT-5 Codex is nuts...
Matthew Berman· 2025-09-15 22:31
Product Overview - OpenAI releases GPT5 Codeex, optimized for agentic coding, available in various environments like terminal, IDE, GitHub, and ChatGPT iOS app [1][2] - GPT5 Codeex is included with ChatGpt Plus Pro business edu and enterprise plans [3] Performance Benchmarks - GPT5 Codeex achieves 74.5% on SWEBench verified, a slight improvement over GPT5's 72.8% [3] - Code refactoring sees a significant improvement with GPT5 Codeex at 51.3% compared to GPT5's 33.9% [3] - GPT5 Codeex can work independently for over 7 hours on complex tasks [4] - GPT5 Codeex uses 93.7% fewer tokens than GPT5 for simpler tasks but spends twice as long on complex use cases [6] - GPT5 Codeex reduces incorrect comments to 4.4% compared to GPT5's 13.7% and increases high impact comments to 52.4% from 39.4% [7] Features and Capabilities - Codeex is trained for code reviews, identifying critical flaws by navigating codebase, reasoning through dependencies, and running code and tests [6] - Codeex CLI updates include better formatted tool calls and diffs, simplified approval modes, and conversation state compaction [12][13] - Codeex automates environment setup by scanning for setup scripts and fetching dependencies at runtime [15] - Codeex can spin up its own browser, iterate on its builds, and attach screenshots to tasks and GitHub PRs [15] - Codeex reviews PRs by matching stated intent to the actual diff, reasoning over the codebase, and executing code and tests [16] Windsurf Integration - Windsurf is highlighted as a powerful agentic IDE, especially after being acquired by Cognition [9] - Windsurf offers features like deep wiki, vibe, replace, one-click MCP store, sophisticated memory, and deep integration with Devon [10][11] Pricing and Availability - Pro plan at $200 per month can support a full work week across multiple projects, positioning it as an additional developer [19] - Business plans offer credit purchases for exceeding included limits, while enterprise plans provide a shared credit pool [20] Infrastructure Improvements - Cloud infrastructure performance is improved by caching containers, reducing medium completion time for new tasks and follow-ups by 90% [14]
How to Improve your Vibe Coding — Ian Butler
AI Engineer· 2025-08-03 04:32
Agent Performance - Current agents have a low overall bug find rate and generate a significant amount of false positives [1][2] - Some agents have a true positive rate of less than 10% for finding bugs [2] - Three out of six agents benchmarked had a 10% or less true positive rate out of 900+ reports [3] - One agent produced 70 issues for a single task, all of which were false [4] - Cursor had a 97% false positive rate over 100+ repos and 1,200+ issues [4] - Thinking models are significantly better at finding bugs in a codebase [8][18] - Agents are not holistically looking at files, leading to high variability across runs [20] Implications for Developers - Alert fatigue reduces the effectiveness of trusting agents, potentially leading to bugs in production [5] - Developers are unlikely to sift through numerous false positives to identify actual bugs [4] Recommendations for Improving Agent Performance - Use bug-focused rules with scoped instructions detailing security issues and logical bugs [6] - Prioritize naming explicit classes of bugs in rules, such as "off bypasses" or "SQL injection" [11] - Require fix validation by ensuring agents write and pass tests before incorporating changes [12] - Manage context thoroughly by feeding diffs of code changes and preventing key files from being summarized [15] - Ask agents to create a step-by-step component inventory of the codebase [16] - Bias the model with specific security information like the OWASP Top 10 [9][10]