Observed Signal · Jun 5, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
TaskTrack: Specify Spec for Agent Task Management
TaskTrack is a task-management system implemented as a Specify specification that demonstrates agents can execute a non-code application spec. The repo (newadventuresinit/tasktrack) provides a Plan Authoring Run to generate interconnected tasks and a Plan Execution Run (with Task Processing Run sub-procedures) to advance plans toward completion. The implementation fits in under 300 lines and uses files for storage. In a test, an authoring agent and an execution agent reliably produced deterministic results across 16 tasks and two execution runs, though the run surfaced issues: incorrect timestamps, variable-length task resolutions, and agent memory of the test context. The specification is published under a permissive license and the repository includes instructions and launch prompts for replication.
Demonstrates a practical, compact Specify-based agentic task-management spec and reproducible agent behavior, showing feasibility for agent-driven workflows; relevant to AI/agent tooling but not a major industry-shifting platform announcement.
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Key Takeaways & Evidence Grounding
- TaskTrack is implemented as a Specify specification and published in the GitHub repository newadventuresinit/tasktrack.
- TaskTrack defines two main procedures: a Plan Authoring Run and a Plan Execution Run, with Task Processing Run sub-procedures for execution context management.
- The implementation is under 300 lines of text and uses files (not a database) for storage.
- In tests, the authoring and execution agents deterministically processed 16 tasks over two execution runs, but the run revealed issues including incorrect timestamps, variable task resolution lengths, and agents revealing awareness of the test.
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This technical guide describes a spec-driven workflow the author uses to run Codex as a disciplined, predictable development teammate. The core rule is "No approved spec, no code changes." The setup includes repository files (CODEX.md, AGENTS.md), executable workflow definitions (.codex/WORKFLOW.md, .codex/STRATEGY.md), agent topology files (.codex/agents/*.toml) with pinned model and reasoning effort, a strict spec template (TASK-YYYY-MM-DD-###.spec.md) and enforced git hooks (.codex/hooks/workflow-guard.sh). Completed specs produce evidence files under .codex/evidence/agent-chain/<spec-id>.json recording agent name, model, chain step, timestamp and success status. Day-to-day flow: spec-architect drafts, human approval, agent-router dispatches specialist, specialist implements only in scope_in, run npm run verify, commit with spec deletion + evidence, then full-branch PR review. The author reports fewer accidental repo-wide edits, faster reviews, and improved handoffs.
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Spec-driven development for AI coding agents
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