TitpeaThesis 2
Coding agents are becoming the first high-frequency adoption path.
Agent Radar · Scheduled Markdown research
Agent news, with sources.
Public sources. Citation checks. Markdown briefs in Git.
$ python scripts/agent_radar.py init
CREATED
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radar.md -
agent-watchlist.md -
user-field-notes.md -
playbook.md -
storage-angle.md
radar.md in the repository · 2026-09-29 1. AI Agents are moving from chat and IDE autocomplete toward task-based execution.
Markdown-first · GitHub Actionschecks before commit · gaps labeled in Git
Research you can review in Git.
Markdown files hold the research. One model screens sources, then drafts; checks run before each commit, and gaps are labeled.
Quoted from radar.md · 2026-09-23 radar.md · main
2026-08-21
Added signal: Cloudflare — MCP security updates (network detection, WriteGuard). … Evidence: Strong (official blog).
MCP
Will MCP become the default tool integration layer? …
Every change stays in Git.
The runner updates four files within fixed write bounds, and each change stays reviewable in history.
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Weekly thesis
Current judgment, what changed, and open questions.
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Watchlist
Mainstream and emerging agents, with evidence labels.
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Field notes
Real workflows and reusable patterns.
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Storage implications
Workspaces, sandboxes, logs, and replay, as a side lens.
Oct 2, 2026
What’s new in v0.26.1.
- The mainstream injector re-runs after the sweep replacement (before accountability/direction-quota), and the…
- Daily results carrying updates but no day-block targets now fail fast with the actual shape problem instead o…
mainstream_auto_addedaccumulates across both injections
Get started
Python 3.10+ and only the standard library. Run it from a clone of the repository.
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Create the Markdown files
python scripts/agent_radar.py init
FAQ
Does it need paid search?
No. Collection uses free public source lanes. You configure the model route; the pinned route runs GPT-5 Mini to screen and draft, about $2.6 a month against a $4 budget, with fallback models pinned in the workflow.
Where does it run?
Daily, weekly, and monthly jobs run on GitHub Actions and produce bilingual reports. If a Chinese half comes out thin, the runner regenerates it, or labels the report when it cannot. Local runs are available for debugging.
What if a check fails?
Most checks repair or label instead of refusing: a missing section gets an explicit gap line. Failures stay visible in telemetry, validate warnings, and issues; Git records what was published.
Agent Radar