diff options
| author | Paul Buetow <paul@buetow.org> | 2025-06-22 19:13:21 +0300 |
|---|---|---|
| committer | Paul Buetow <paul@buetow.org> | 2025-06-22 19:13:21 +0300 |
| commit | c02f6ad75726530370d17ea76a18df7b133edb73 (patch) | |
| tree | 49f7daf857c3b07ca99af597cbd61a1e86a955bd /gemfeed | |
| parent | b8bdbf7b99c6cabbac667744fa987fd8e1c42158 (diff) | |
Update content for html
Diffstat (limited to 'gemfeed')
| -rw-r--r-- | gemfeed/2025-07-22-task-samurai.html | 8 | ||||
| -rw-r--r-- | gemfeed/atom.xml | 10 |
2 files changed, 11 insertions, 7 deletions
diff --git a/gemfeed/2025-07-22-task-samurai.html b/gemfeed/2025-07-22-task-samurai.html index 49e87f9f..7f00b03a 100644 --- a/gemfeed/2025-07-22-task-samurai.html +++ b/gemfeed/2025-07-22-task-samurai.html @@ -52,7 +52,7 @@ <br /> <h3 style='display: inline' id='how-it-works'>How it works</h3><br /> <br /> -<span>Task Samurai invokes the <span class='inlinecode'>task</span> command to read and modify tasks. The tasks are displayed in a Bubble Tea table, where each row represents a task. Hotkeys trigger Taskwarrior commands such as starting, completing or annotating tasks. The UI refreshes automatically after each action, so the table is always up to date.</span><br /> +<span>Task Samurai invokes the <span class='inlinecode'>task</span> command (that's the original Taskwarrior CLI command) to read and modify tasks. The tasks are displayed in a Bubble Tea table, where each row represents a task. Hotkeys trigger Taskwarrior commands such as starting, completing or annotating tasks. The UI refreshes automatically after each action, so the table is always up to date.</span><br /> <br /> <a href='./task-samurai/screenshot.png'><img alt='Task Samurai Screenshot' title='Task Samurai Screenshot' src='./task-samurai/screenshot.png' /></a><br /> <br /> @@ -103,7 +103,7 @@ <br /> <h3 style='display: inline' id='what-i-learned-using-agentic-coding'>What I Learned Using Agentic Coding</h3><br /> <br /> -<span>Stepping into agentic coding with Codex as my "pair programmer" was a genuine shift. I learned a ton—not just about automating code generation, but also about how you have to tightly steer, guide, and audit every line as things move at breakneck speed. I must admit, I sometimes lost track of what all the generated code was actually doing. But as the features seemed to work after a few iterations, I was satisfied.</span><br /> +<span>Stepping into agentic coding with Codex as my "pair programmer" was a genuine shift. I learned a ton—not just about automating code generation, but also about how you have to tightly steer, guide, and audit every line as things move at breakneck speed. I must admit, I sometimes lost track of what all the generated code was actually doing. But as the features seemed to work after a few iterations, I was satisfied. </span><br /> <br /> <span>Discussing requirements with Codex forced me to clarify features and spot logical pitfalls earlier. All those fast iterations meant I was constantly coaxing more helpful, less ambiguous code out of the model—making me rethink how to break features into clear, testable steps. I now see agentic coding not just as a productivity tool but also as a learning accelerator.</span><br /> <br /> @@ -120,7 +120,9 @@ </ul><br /> <h2 style='display: inline' id='wrapping-up'>Wrapping Up</h2><br /> <br /> -<span>Building Task Samurai with agentic coding was a wild ride—rapid feature growth, plenty of churns, countless fast fixes, and more merge commits I'd expected. The big lessons? Keep the iterations short, keep tests and documentation concise, and review and refine for final polish at the end. Even with the bumps along the way, shipping a polished terminal UI in days instead of weeks is a testament to the raw power (and some hazards) of agentic development.</span><br /> +<span>Building Task Samurai with agentic coding was a wild ride—rapid feature growth, plenty of churns, countless fast fixes, and more merge commits I'd expected. The big lessons? Keep the iterations short (or maybe in my next experiment, much larger, with better and more complete design before generating a single line of code), keep tests and documentation concise, and review and refine for final polish at the end. Even with the bumps along the way, shipping a polished terminal UI in days instead of weeks is a testament to the raw power (and some hazards) of agentic development.</span><br /> +<br /> +<span>Am I an agentic coding expert now? I don't think so. There are still many things to learn, and the landscape is constantly evolving.</span><br /> <br /> <span>While working on Task Samuray, there were times I genuinely missed manual coding and the satisfaction that comes from writing every line yourself, debugging issues through sheer logic, and crafting solutions from scratch. However, this is the direction in which the industry seems to be shifting, unfortunately. If applied correctly, AI will boost performance, and if you don't use AI, your next performance review may be awkward.</span><br /> <br /> diff --git a/gemfeed/atom.xml b/gemfeed/atom.xml index afa9027f..31aacc89 100644 --- a/gemfeed/atom.xml +++ b/gemfeed/atom.xml @@ -1,6 +1,6 @@ <?xml version="1.0" encoding="utf-8"?> <feed xmlns="http://www.w3.org/2005/Atom"> - <updated>2025-06-22T19:03:15+03:00</updated> + <updated>2025-06-22T19:12:10+03:00</updated> <title>foo.zone feed</title> <subtitle>To be in the .zone!</subtitle> <link href="https://foo.zone/gemfeed/atom.xml" rel="self" /> @@ -59,7 +59,7 @@ <br /> <h3 style='display: inline' id='how-it-works'>How it works</h3><br /> <br /> -<span>Task Samurai invokes the <span class='inlinecode'>task</span> command to read and modify tasks. The tasks are displayed in a Bubble Tea table, where each row represents a task. Hotkeys trigger Taskwarrior commands such as starting, completing or annotating tasks. The UI refreshes automatically after each action, so the table is always up to date.</span><br /> +<span>Task Samurai invokes the <span class='inlinecode'>task</span> command (that's the original Taskwarrior CLI command) to read and modify tasks. The tasks are displayed in a Bubble Tea table, where each row represents a task. Hotkeys trigger Taskwarrior commands such as starting, completing or annotating tasks. The UI refreshes automatically after each action, so the table is always up to date.</span><br /> <br /> <a href='./task-samurai/screenshot.png'><img alt='Task Samurai Screenshot' title='Task Samurai Screenshot' src='./task-samurai/screenshot.png' /></a><br /> <br /> @@ -110,7 +110,7 @@ <br /> <h3 style='display: inline' id='what-i-learned-using-agentic-coding'>What I Learned Using Agentic Coding</h3><br /> <br /> -<span>Stepping into agentic coding with Codex as my "pair programmer" was a genuine shift. I learned a ton—not just about automating code generation, but also about how you have to tightly steer, guide, and audit every line as things move at breakneck speed. I must admit, I sometimes lost track of what all the generated code was actually doing. But as the features seemed to work after a few iterations, I was satisfied.</span><br /> +<span>Stepping into agentic coding with Codex as my "pair programmer" was a genuine shift. I learned a ton—not just about automating code generation, but also about how you have to tightly steer, guide, and audit every line as things move at breakneck speed. I must admit, I sometimes lost track of what all the generated code was actually doing. But as the features seemed to work after a few iterations, I was satisfied. </span><br /> <br /> <span>Discussing requirements with Codex forced me to clarify features and spot logical pitfalls earlier. All those fast iterations meant I was constantly coaxing more helpful, less ambiguous code out of the model—making me rethink how to break features into clear, testable steps. I now see agentic coding not just as a productivity tool but also as a learning accelerator.</span><br /> <br /> @@ -127,7 +127,9 @@ </ul><br /> <h2 style='display: inline' id='wrapping-up'>Wrapping Up</h2><br /> <br /> -<span>Building Task Samurai with agentic coding was a wild ride—rapid feature growth, plenty of churns, countless fast fixes, and more merge commits I'd expected. The big lessons? Keep the iterations short, keep tests and documentation concise, and review and refine for final polish at the end. Even with the bumps along the way, shipping a polished terminal UI in days instead of weeks is a testament to the raw power (and some hazards) of agentic development.</span><br /> +<span>Building Task Samurai with agentic coding was a wild ride—rapid feature growth, plenty of churns, countless fast fixes, and more merge commits I'd expected. The big lessons? Keep the iterations short (or maybe in my next experiment, much larger, with better and more complete design before generating a single line of code), keep tests and documentation concise, and review and refine for final polish at the end. Even with the bumps along the way, shipping a polished terminal UI in days instead of weeks is a testament to the raw power (and some hazards) of agentic development.</span><br /> +<br /> +<span>Am I an agentic coding expert now? I don't think so. There are still many things to learn, and the landscape is constantly evolving.</span><br /> <br /> <span>While working on Task Samuray, there were times I genuinely missed manual coding and the satisfaction that comes from writing every line yourself, debugging issues through sheer logic, and crafting solutions from scratch. However, this is the direction in which the industry seems to be shifting, unfortunately. If applied correctly, AI will boost performance, and if you don't use AI, your next performance review may be awkward.</span><br /> <br /> |
