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Gemini

Recent community conversations about using Gemini.

14 selected discussionsReviewed Oct 26, 2026
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Redditr/AI_AgentsAuthor workflow report

Developer reports a Claude-to-Gemini handoff using files on disk

RandalSchwartz describes storing agent rules, decisions and next actions in numbered files controlled by a Makefile. The author says Gemini continued a coding run after Claude Sonnet reached a quota limit, reading the state Claude had left on disk. A separate GPT-OSS 120B attempt reportedly ignored those files and produced repeated context resets and conflicting Git operations.

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In the repliesQuanTradin emphasizes persistent state surviving the model switch. thelocalnode says recording rejected approaches helps avoid rebuilding failed ideas; the author agrees and links their own workflow write-up and templates. Neither reply independently reproduces the comparison.

The author promotes their own workflow. Exact Claude/Gemini versions, matched configurations and independently checked production logs are missing. Reported failures do not establish a general capability ranking or prove every model can safely share one working tree.

Original posted October 23 at 00:03:09 UTC. The author’s account and replies by QuanTradin and thelocalnode were read October 26. The workflow and comparison were not independently reproduced.

Redditr/google_antigravityPerformance reports

Antigravity users report sharply different Flash speeds and review delays

Thunjaya reports about 20 tokens per second with Gemini 3.8 on an AI Pro subscription, compared with roughly 150 through the API. In replies, the author describes speed as variable rather than uniformly slow. The post does not provide a matched prompt, input length or repeated-run measurements for the two routes.

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In the repliesneeds-more-code says assigning Flash a small reviewing role delayed their workflow by four hours. Sfdprod reports more than 200 tokens per second with 3.8 Flash in both Antigravity and the Gemini app, contradicting a universal slowdown. Their conditions are not matched to the original poster’s.

Self-reported experiences across different accounts and workloads. They do not establish intentional throttling, its cause, or an official change to subscription limits.

Original October 20 at 07:35:18 UTC; human comments phuojcq and phx32a5 read in the original browser thread October 21. No controlled benchmark.

Redditr/GeminiAICoding workflow report

Gemini user pairs Argon research with Flash implementation one chat at a time

AncientAdamo describes using Argon in the Gemini browser app to research an approach and prepare instructions, then Gemini 3.8 Flash in Antigravity to check project context and implement it. They add relevant files and line references, plan interactively and keep one chat active rather than running parallel agents. On a self-reported Pro account and a 50,000-plus-line project, they say three days of six-to-eight-hour use left half the weekly allowance.

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In the repliesiJeff argues that CLI orchestration with subagents could finish the work faster. diggsalot reports that high thinking consumes more allowance than low thinking. Neither reply reproduces the author’s workload or demonstrates a quota formula.

The post separates browser Argon from Antigravity Flash but does not identify which client’s weekly usage meter the figure describes. Effort settings and task logs are missing; hours online and codebase size do not measure completed work.

Original posted October 19 at 09:55:13 UTC. Human replies phoish1 and phr5ej7 checked October 20; claims remain personal reports.

LINUX DO分区:前沿快讯Quota trial discussion

Antigravity user estimates an Ultra allowance from local usage logs

ferret compares local token records with an Ultra 20x usage meter while using Gemini 4 Argon. An author-posted October 18 calibration summary describes 203 calls and estimates roughly $200 per five-hour window and $800 per week at introductory API rates. It labels these as that account’s calibration, with the window not fully exhausted. They are API-equivalent estimates, not cash credits or guaranteed budgets. The author extrapolates Pro and Ultra 5x amounts while saying they lack those accounts.

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In the repliesDANTESHUME disputes the headline’s bug-fix explanation and suggests a deliberate allowance increase. Vincent_Aurelius instead says a cache-accounting bug was involved. qingyu reports no noticeable improvement in their own use. These replies offer competing interpretations rather than a verified cause.

The posted summaries describe sampling and cache-aware conversion; TechReadly has not verified the raw logs or calculation. Other-tier limits and the cause of any change remain unconfirmed. API-equivalent value does not establish Google’s serving cost.

Original October 17; attached October 17/18 calibration summaries and human replies 2, 3 and 8 read October 22. No test performed by TechReadly.

LINUX DO分区:LINUX DOUsage-meter discussion

Gemini Pro users disagree on whether the usage meter counts questions

kl3300 reported that Gemini 4 consumed 5% of a five-hour allowance per request on a student-verified Pro account, leading them to infer a 20-question limit regardless of difficulty. After other users challenged that interpretation, the author suggested the behavior might vary by account and said even a refused request consumed 5%. These are observations of one account, not a verified quota formula.

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In the repliestmwl reported different meter changes for short greetings. ww472934 said an image response consumed 2%, while a follow-up explanation brought the conversation's total to 7%. NangongQingsheng reported 16% for a long writing request. The replies therefore challenge a universal fixed question count, but their workloads and account settings were not matched.

The discussion does not establish Google's billing rules, a quota reduction, or what determines the meter. Exact model revision and client were not verified.

Original post and replies #2, #8, #10–13 dated October 14; checked October 16. All usage figures are user reports, not independently reproduced.

Redditr/google_antigravityAccess clarification

Pro subscribers distinguish Argon access in Gemini app from Antigravity

ChainOfVulns shared a mobile screenshot and said Gemini 4 Argon was available on a Pro plan. The post invited others to check their accounts, but did not show access in Antigravity.

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In the repliesabjectchain96 reported having Argon in the Gemini app on a paid Pro subscription while lacking it in Antigravity. spiress said they wanted access in Antigravity, and Massive_Dot279 said it was unavailable there. Eastern-Passage629 asked whether its speed resembled Pro or Flash; the thread supplied no performance comparison.

Google lists Pro and Ultra access in the Gemini app, and Ultra or Enterprise in Antigravity. Its model documentation excludes the standalone Antigravity IDE while supporting the app, CLI and IDE extensions. No Pro Antigravity date was verified.

Original post and human replies checked October 14. Individual account reports do not establish rollout completion or model performance.

Redditr/ChatGPTCodingSubscription workflow comparison

Unity developer compares subscription allowance use on a read-only repository task

AlexXx52 reported results from running essentially the same read-only Unity 6 repository investigation tasks across 16 model and reasoning configurations. The task covered harvesting tools, integration files, architecture, and risk analysis without making repository edits. The author used ChatGPT Plus, Claude Pro and Google AI Pro subscriptions. The author evaluated performance across self-reported provider allowance percentages, wall-clock duration, and subjective quality scores. Reported results included Sonnet 5.5 medium consuming 1% allowance in 5 minutes with an 8.3/10 quality score; GPT-6.1 Sol medium consuming 3% allowance in 3 minutes with a 9.0/10 score; Opus 5.5 medium consuming 4% allowance in 8 minutes with a 9.7/10 score; and GPT-6 Astra high consuming 20% allowance in 14 minutes with a 9.3/10 score. The author also reported that Opus inspected a local Asset Store cache for an unimported package and updated its architectural recommendation accordingly.

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In the repliestwendah asked why Haiku 5.5 xhigh was missing; Laprablenia asked about Gemini 3.8 Flash. Right-Performance-93 preferred Sol medium based on the same author's table, without an independent run.

The author explicitly cautioned that provider allowance percentages are not equivalent compute units. Exact prompts, repeated runs, account windows and execution logs were not verified; the table does not establish general quality rankings or API costs.

Original October 9 post and replies pevpx95, pewm3lp and pf04ai5. Model names, usage figures and quality ratings are self-reported.

LINUX DO分区:LINUX DOVisual reasoning report

Five-image reasoning test draws a reply challenging bookshelf grading

kakarot_8 reported trying five HSS image questions in Chinese once per model. Setups were GPT-6 Astra extreme in Codex desktop, Grok 4.7 xhigh through SuperGrok/GrokBuild, Gemini 3.8 Flash high through a Pro family plan/Antigravity, and Claude Fable 5.1 xhigh through third-party Any/cc cli. The author graded the first three 1/5 and Claude 0/5, acknowledged bookshelf ambiguity and questioned the third-party Claude delivery.

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In the replieslgnorant-lu reported 2/5 using Gemini Web 3.8 Flash extended with rephrased spatial questions, questioning which blue and white books the bookshelf prompt meant. The author conceded that question was problematic. The changed prompts make this a different attempt.

Single attempts with different settings, clients and providers; these user-assigned grades do not establish a model ranking or reproduce the HSS paper.

LINUX DO posts 23449203, 23450507 and 23450965, October 9. Model labels, grades and client behavior are self-reported.

Redditr/GoogleGeminiAIWorkflow report

Gemini review handoff hits access friction in a Claude–Codex workflow

bocondo described using Claude for implementation and an automated Codex review loop, then tried adding Gemini through a Google AI Pro subscription. In a follow-up, the author said Claude supplied a ticket-review prompt and helped resolve Gemini’s access problem. Gemini then passed the ticket, while Codex reported two issues. The ticket and findings were not shared for verification.

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In the repliesevilncarnate82 described manually handing Claude’s architect prompts to Antigravity and adding canary tests after incomplete work. MentalThroat7733 reported using AI Studio and Antigravity with Android Studio, or copying between Gemini and an editor for web/Python work, mainly with 3.8 Flash extended thinking and automated tests. These were different workflows, rather than tests of bocondo’s ticket.

The author’s exact Gemini version, prompts, settings and issue severity are unknown. One self-reported review comparison does not establish model accuracy or a general ranking.

Original post and substantive replies; subscription entitlements and CLI-retirement claims in comments were not verified and are not adopted here.

LINUX DO分区:搞七捻三Hands-on

Developer Reports Better Targeted Fixes With Gemini 3.8 Flash, but Unwanted Edits

Author MoeCaa reported that in personal use, Gemini 3.8 Flash repaired specified functionality in a single attempt where 3.7 or GLM 5.3 Flash previously failed. However, the author observed downsides including high token consumption, indiscriminate project modifications, and frontend regressions. MoeCaa argued builders should test models directly rather than rely on community rhetoric.

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In the repliesCommenters echoed the emphasis on personal testing over disputes. User xiayiji suggested using whatever model works for one's own workflow, while lylasi noted that task contexts differ and functional utility is what matters.

Gemini 3.8 Flash functional bug fixes · Exact prompts, settings and project repository unspecified for this comparison.

Personal reports, not a reproduced benchmark. No numeric token measurements were supplied for this comparison; replies do not independently confirm the coding results.

Selected and reviewed Oct 26, 2026. Summaries reflect individual posts and replies, not a community-wide verdict.