Trustbut on Maven: A No-Op JUnit 6 Test Gets a PASS (2026)
Trustbut 0.7.0 on Maven: a no-op JUnit 6 test earned PASS, while adding no test earned WARN. Ten receipt cases, with the limits of what they prove.
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Trustbut 0.7.0 on Maven: a no-op JUnit 6 test earned PASS, while adding no test earned WARN. Ten receipt cases, with the limits of what they prove.
Read moreOn Spring Boot 4.1.2, spring.data.redis.database=5 binds correctly, but master/replica connections are built for db0. I ran 12 cases against 4.2.0-RC2.
Read moreTested spring.properties.migrator.fail in 4.2.0-RC1: on-error skips renamed keys, @PropertySource is invisible, and typos stay silent.
Read moreSeparate transaction timing from notification durability. Design an outbox with retries, idempotency, crash recovery, and failure-path verification.
Read moreFix object-level authorization on order lookup, listing, and search. Parameterized SQL is not an ownership check; verify rejected access too.
Read moreVerify a Hibernate upgrade against existing schema and data. Separate naming, native-query mappings, temporal semantics, and performance checks.
Read moreA Boot 4 instruction template that checks dependencies, property binding, test discovery, and security without treating green builds as proof.
Read moreCheck method-security configuration, proxy invocation, and allowed and denied identities after an upgrade. An annotation alone is not enforcement.
Read moreRun a Java 17 project on Boot 3.5.7 and 4.0.0. Inspect CSRF, real HTTP error dispatch, Flyway history, and two deliberately failing checks.
Read moreTwo public migration PRs illustrate how to separate proposed changes, reported build results, and the evidence needed to approve a Boot 4 upgrade.
Read moreAudit application.yml after a Boot 4 change without treating metadata, migrator output, or an actuator response as complete proof of configuration.
Read moreDistinguish legitimate Gradle test reuse from an undeclared-input bug. Check task outcomes, force execution, and declare the state the test reads.
Read moreSeparate an agent process result from application acceptance. Preserve build exit codes, inspect fresh test reports, and resolve tests-versus-spec conflicts.
Read moreDiagnose a Boot 4 dependency that resolves and compiles but does not activate its feature. Check integration modules, conditions, beans, and behavior.
Read moreCheck the active Docker endpoint inside the agent environment, separate daemon availability from permissions, and verify integration tests actually execute.
Read moreDiagnose edited migrations, preserve applied SQL, and distinguish Flyway metadata repair from a real schema correction before changing a database.
Read moreCheck Surefire naming, explicit selection, Failsafe binding, and fresh reports. Avoid confusing test-source counts with executed test cases.
Read moreCompare the same Maven command inside and outside Codex, then separate JDK errors, filesystem denials, repository configuration, and network failures.
Read moreUse positive and negative fixtures to verify architecture rules, preserve formatting gates, and review agent changes to the checks themselves.
Read moreDistinguish CSRF, authentication, authorization, and missing test filters. Verify a scoped security change without weakening protection for a green build.
Read moreScope a Boot 4 upgrade around JSON, security, persistence and configuration contracts. Choose the right checks before following the runnable case study.
Read moreConfigure Codex project instructions without confusing nested scope, local overrides, permissions, or verification of a Spring Boot change.
Read moreConfigure a filesystem MCP server for a small Java workspace, verify allowed directories, and avoid assuming an unsupported flag creates read-only access.
Read moreUse Codex on a Spring Boot repository with explicit build commands, scoped tasks, and independent verification of tests and business behavior.
Read moreImprove Cursor context for multi-module Spring Boot projects with explicit paths, indexing checks, and verification of bean and caller assumptions.
Read moreKeep stable Spring Boot instructions separate from local setup notes and remembered observations. Check what loaded and verify facts before reusing them.
Read moreConfigure a Claude Code review workflow with documented action inputs, explicit trust boundaries, independent builds, and visible usage limits.
Read moreUse Copilot with a defined Java task, repository context, and independent tests. Compare outcomes without unsupported model rankings or time-saving claims.
Read moreChoose a starting point for AI-assisted Java work: agent setup, repository context, meaningful tests, security checks, and Spring Boot 4 migration.
Read moreUse a small read-oriented subagent and verified hook behavior. Keep instructions, tool permissions, and operating-system boundaries distinct.
Read morePrepare a reproducible Java environment for a remote agent and review its branch, dependencies, tests, and profile assumptions before accepting a patch.
Read moreReview transactions, ownership, bean wiring, query behavior, and Java version assumptions using concrete failure paths and executable acceptance checks.
Read moreReview generated JUnit tests for boundary behavior, mock scope, discovery, and failure sensitivity. Includes a downloadable Java 17 example.
Read moreUse Cursor on a Spring Boot repository with scoped context, project rules, authorization checks, and a build review that goes beyond compilation.
Read moreSet up a Claude Code task around your Spring Boot build, project instructions, scoped changes, and checks that establish what actually ran.
Read moreTrace a 429001 response to its provider, distinguish Tencent TokenHub codes from OpenAI errors, and preserve the evidence needed for a useful fix.
Read moreBuild a small LangChain agent using a deterministic tool, configure a compatible provider explicitly, and inspect tool results without inventing live data.
Read moreInspect an open-source PyQt PDF-to-Word converter, its heading heuristics, and why a zero suspicious-character score does not prove conversion fidelity.
Read moreMap callers, capture current contracts, and make small reviewed Java changes with AI when tests and business documentation are incomplete.
Read moreUnderstand MCP hosts, clients, servers, and tools. Start with one scoped integration and verify discovery, access, and failure behavior.
Read moreWrite focused Cursor project rules, choose activation deliberately, and test whether the right guidance was supplied without treating it as enforcement.
Read moreBuild a bounded coding-agent loop with observable state, independent verification, repeat detection, and explicit stops for problems it cannot repair.
Read moreA source-based comparison of OpenClaw and Hermes Agent: channels, memory, model routing, tool permissions, data flow, and a repeatable evaluation plan.
Read moreCatch invented APIs and unsupported claims with version-specific documentation, compilation, runtime checks, and explicit uncertainty.
Read moreDesign the environment around an AI coding agent: clear task contracts, constrained tools, independent checks, and a handoff with inspectable evidence.
Read moreEstimate request and token demand, pace shared workers, and use account limits and response headers without relying on outdated tier tables.
Read moreStart with a working repository, scope a small Cursor task, inspect context and rules, and verify the resulting code before accepting it.
Read moreSeparate temporary throttling from exhausted credits, spend limits, and gateway errors. Includes an offline Python classifier and a recovery checklist.
Read moreSet up a focused Claude project, separate reference material from instructions, and test whether answers preserve sources and uncertainty.
Read moreCompare Claude and ChatGPT using identical writing, Java review, and document tasks. Record tools, sources, corrections, and time before choosing a plan.
Read moreChoose an assistant around a concrete Java task: code review, a bounded repository change, or documentation. Includes a reusable evaluation worksheet.
Read moreWrite prompts that preserve facts and expose missing context. Use examples, output contracts, and verification instead of unsupported performance promises.
Read moreStart with a concrete ChatGPT task, provide the needed context, check factual claims, and review privacy and plan settings without relying on old model tables.
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