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#Testing/verification

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9/23Wed
  1. Lovable · Blog60

    Lovable Ships Opus 5.5: Faster Builds, Quality on Par with Opus 5

    Lovable has shipped Opus 5.5, which the company says matches Opus 5 in results while cutting the number of steps by one-third to one-half. On Lovable's internal benchmarks, Opus 5.5 ties Opus 5 on 0-to-1 builds and iterative code changes, and comes out 4% to 6% ahead on validation discipline; across all reasoning effort levels, steps per task drop by 26% to 57% and input tokens fall by 21% to 59%, with the differences significant at the 95% confidence level.

    Why it matters: Lovable shares official comparison data between Opus 5.5 and Opus 5 on step counts and tokens, so readers can judge the real change in build efficiency.

9/4Fri
  1. OpenAI Developer Blog · Codex71

    How to Build a Game with Astra in Codex: From Void Explorer to Performance Tuning

    The author built the space exploration game Void Explorer in Codex with Astra, featuring 2,048 star systems and over 10,000 procedurally generated planets, and shared the full workflow from prompts to architecture, testing, and performance measurement.

    Why it matters: Using Astra in Codex, the author built an entire game and showed a transferable collaborative workflow that spans prompts, testing, and performance measurement.

8/21Fri
  1. OpenAI Developer Blog · Codex65

    OpenAI Releases Daybreak and Codex Security, a Security Workflow

    OpenAI has launched Daybreak, combining ChatGPT, Codex Security, and the open-source Codex Security CLI into a security defense workflow that covers pre-merge PR reviews, repository and vulnerability backlog scans, and regular CI checks.

    Why it matters: The official documentation walks through the full Codex Security workflow—from PR reviews and repository scans to CLI-based batch scanning—so you can decide how to plug it into your existing security processes.

8/13Thu
  1. Augment Code · Blog62

    Augment Code Expands Cosmos: Turning Code Review into an Agentic PR-to-Merge Loop

    Augment Code has extended its Cosmos review system from code review to a full PR-to-merge loop, adding four capabilities: Verifier, PR Fixer, Review Dashboard, and cosmos approve. Dedicated Experts handle risk analysis, line-by-line correctness review, design review, runtime verification, and fixes.

    Why it matters: Augment has expanded code review into a PR-to-merge loop covering fixes, verification, and approval, giving readers a way to judge how multi-agent division of labor plays out in practice.

7/22Wed
  1. Augment Code · Blog62

    What is loop engineering, and how are leading software engineering teams using it?

    Augment Code proposes loop engineering: designing agent loops that run from trigger to execution to validation to outcome, with agents handling the intermediate steps and humans stepping in only at checkpoints that require judgment. The article compares loop engineering with prompt engineering and context engineering as distinct layers, lays out five stages—trigger, execution, validation, outcome, and improvement—and describes four team-level loops already running in production: code review, ticket-to-PR, vulnerability remediation, and incident response.

    Why it matters: Augment Code breaks loop engineering into five stages—trigger, execution, validation, outcome, and improvement—and lays out four team-level loop patterns already running in production.

7/8Wed
  1. AI Hero · Skills Updates65

    AI Hero skills repo ships v1.1: adds /wayfinder, renames /to-spec and /to-tickets

    AI Hero's skills repo ships v1.1, renaming /to-prd to /to-spec, merging /to-plan and /to-issues into /to-tickets, and adding new Skills like /wayfinder, /research, and /prototype.

    Why it matters: The author walks through the full Skill flow from grilling to deployment and gives the migration commands for the renames, the merge, and the new /wayfinder—useful for anyone building an AI development workflow.

1/22Thu
11/19Wed
  1. OpenAI · Codex Cookbook67

    How to modernize a legacy codebase in phases with Codex CLI

    In the Codex Cookbook, OpenAI lays out a complete workflow for modernizing a legacy codebase with Codex CLI, using a COBOL portfolio system as the example and moving through five phases built around an ExecPlan design document.

    Why it matters: Using a COBOL portfolio system as the example, it offers reusable documents and a validation workflow for modernizing legacy code in phases with Codex CLI.