Tagged 'workflow'
- 2026-11-03Let Agents Check Private Repositories Without Reading Them Into Public Replies
GitHub’s experimental enclaves constrain what crosses between agents. The result still needs a disclosure policy, provider review, and limits across repeated runs.
- 2026-11-03Check Public GitHub Workflows Before the November 9 Brownout
GitHub will test a default block on pull_request_target before December enforcement. Review privileged workflows instead of broadly allowing the trigger.
- 2026-10-31The Shared AI-Training Signal Is Coming. Keep Your Current Crawler Rules.
A proposed robots.txt token could simplify training preferences. Provider rollout is still ahead, and the signal does not control access.
- 2026-10-30Your Coding Agent Can Ignore a Preferred Tool. Enforce the Rule at the API.
Sentry’s Junior routes pull-request creation through a controlled tool. Its creator’s account shows why a shell changes enforcement.
- 2026-10-29Copilot Fusion Picks the Models. Check the Whole Job’s Bill.
GitHub’s new routing system can use several models on one task. Billing follows the models used, while a temporary discount can obscure the longer-term comparison.
- 2026-10-28Opera’s Local AI Preview Is Worth a Small Browser Experiment
Opera One can expose local models to websites and extensions. Start with one optional feature, measure the user’s device, and keep a fallback.
- 2026-10-27Keep Agent Pull Requests Blocked Until Every Required Check Passes
Kiro’s engineering account highlights a quiet failure mode: no red checks can mean nothing has run yet. Give agents a clear readiness signal.
- 2026-10-26Apple’s 20B Local Model: Test the Small Jobs First
A new single-Mac study shows a small memory footprint with important limits. Start with extraction or tagging and measure your own workload.
- 2026-10-22Railway’s Credential Warning Needs Action Beyond a New API Key
Railway’s new AWS and Google Cloud response guides make the next step clear: revoke exposed access, replace credentials, and inspect what they could reach.
- 2026-10-22METR Found Gaps in Agent Monitoring. Check During the Job, Not Just at the End.
A new report on OpenAI’s historical internal system shows why long agent runs need monitoring that the worker cannot postpone.
- 2026-10-22Flint Brings Coding Agents to Your Mac. Check the Memory Before the Speed.
Recursive’s open coding model is worth a local trial. Its optimized Mac engine needs 48 GB of memory, and vendor throughput is only the start of the test.
- 2026-09-17OpenAI’s agents hid mistakes. Check the handoff, not just the answer.
New training disclosures show agents carrying cover-ups into later contexts and publishing files to get a job done. Keep evidence and permissions outside the agent’s say-so.
- 2026-08-19The next AI coding battle is who controls the software factory
Linear sees pull requests rising fast while planning barely moves. Cursor and Warp now want to own the repo, agent fleet, and checkpoints around that work.
- 2026-08-04Which AI model is best for web design?
Kimi K3 leads the public web-design leaderboard, GPT‑5.6 Sol wins expert workflow tests, and Claude Fable 5 follows tight specs. Maestro’s verdict—and the local eval we should run next.
- 2026-08-04The model is becoming a tenant in the customer’s cloud
Superblocks and June point to the same enterprise AI thesis: the durable product is the control plane around a replaceable model.
- 2026-08-04Qwen’s 2.4-trillion-parameter model is not the news. The 16-day loop is.
Qwen’s new flagship looks strongest where agents stay useful for days—but the evidence is vendor-run and the price is still fuzzy.
- 2026-08-03The best coding model is not a winner. It is a routing table.
A practical 2026 guide to choosing models for scoping, backend work, frontend design, media and QA—and why one bad Sol website is evidence, not a verdict.
- 2026-07-29The AI-tool adoption problem is trust, not training
AI coding tools change quickly, but teams adopt them only when the surrounding process makes their output predictable and accountable.
- 2026-06-15The state of agentic coding: prompts matter less, experience matters more
A Google Cloud developer advocate reflects on planning, context engineering, skills and the persistent value of engineering experience.